## Chart Type: Line Graphs Comparing Mistral-7B Model Versions ### Overview The image presents two line graphs side-by-side, comparing the performance of two versions of the Mistral-7B model (v0.1 and v0.3) across different layers. The y-axis represents ΔP (Delta P), and the x-axis represents the Layer number. Each graph displays six data series, representing different question-answering tasks, anchored by either "Q" (Question) or "A" (Answer). The shaded regions around each line represent the uncertainty or variance in the data. ### Components/Axes * **Titles:** * Left Graph: "Mistral-7B-v0.1" * Right Graph: "Mistral-7B-v0.3" * **X-axis:** * Label: "Layer" * Scale: 0 to 30, with tick marks at intervals of 10. * **Y-axis:** * Label: "ΔP" * Scale (Left Graph): -15 to 0, with tick marks at intervals of 5. * Scale (Right Graph): -20 to 0, with tick marks at intervals of 5. * **Legend:** Located at the bottom of the image. * Q-Anchored (PopQA): Solid Blue Line * A-Anchored (PopQA): Dashed Brown Line * Q-Anchored (TriviaQA): Dotted Green Line * A-Anchored (TriviaQA): Dash-Dot Red Line * Q-Anchored (HotpotQA): Dash-Dot Purple Line * A-Anchored (HotpotQA): Dotted Gray Line * Q-Anchored (NQ): Dash-Dot Pink Line * A-Anchored (NQ): Dotted Gray Line ### Detailed Analysis **Left Graph (Mistral-7B-v0.1):** * **Q-Anchored (PopQA) - Solid Blue Line:** Initially around 0, it remains relatively stable until layer ~25, then sharply declines to approximately -12 at layer 30. * **A-Anchored (PopQA) - Dashed Brown Line:** Starts near 0, gradually decreases to around -3 by layer 30. * **Q-Anchored (TriviaQA) - Dotted Green Line:** Starts near 0, decreases to approximately -6 by layer 30. * **A-Anchored (TriviaQA) - Dash-Dot Red Line:** Starts near 0, gradually decreases to around -3 by layer 30. * **Q-Anchored (HotpotQA) - Dash-Dot Purple Line:** Starts near 0, decreases to approximately -5 by layer 30. * **A-Anchored (HotpotQA) - Dotted Gray Line:** Starts near 0, gradually decreases to around -3 by layer 30. * **Q-Anchored (NQ) - Dash-Dot Pink Line:** Starts near 0, decreases to approximately -4 by layer 30. * **A-Anchored (NQ) - Dotted Gray Line:** Starts near 0, gradually decreases to around -3 by layer 30. **Right Graph (Mistral-7B-v0.3):** * **Q-Anchored (PopQA) - Solid Blue Line:** Initially around 0, it remains relatively stable until layer ~25, then sharply declines to approximately -18 at layer 30. * **A-Anchored (PopQA) - Dashed Brown Line:** Starts near 0, gradually decreases to around -2 by layer 30. * **Q-Anchored (TriviaQA) - Dotted Green Line:** Starts near 0, decreases to approximately -8 by layer 30. * **A-Anchored (TriviaQA) - Dash-Dot Red Line:** Starts near 0, gradually decreases to around -2 by layer 30. * **Q-Anchored (HotpotQA) - Dash-Dot Purple Line:** Starts near 0, decreases to approximately -4 by layer 30. * **A-Anchored (HotpotQA) - Dotted Gray Line:** Starts near 0, gradually decreases to around -2 by layer 30. * **Q-Anchored (NQ) - Dash-Dot Pink Line:** Starts near 0, decreases to approximately -3 by layer 30. * **A-Anchored (NQ) - Dotted Gray Line:** Starts near 0, gradually decreases to around -2 by layer 30. ### Key Observations * In both graphs, the "Q-Anchored (PopQA)" series (solid blue line) exhibits the most significant drop in ΔP towards the higher layers. * The "A-Anchored" series generally show a more gradual and less pronounced decrease in ΔP compared to their "Q-Anchored" counterparts. * The shaded regions indicate the variability in the data, with some series showing wider bands than others, suggesting greater uncertainty. * The Mistral-7B-v0.3 model shows a more pronounced drop in ΔP for the "Q-Anchored (PopQA)" series compared to the v0.1 model. ### Interpretation The graphs suggest that as the layer number increases, the performance (as measured by ΔP) of the Mistral-7B model tends to decrease, particularly for question-anchored tasks on the PopQA dataset. This could indicate that deeper layers in the model are less effective at processing or retaining information relevant to these specific tasks. The difference between the v0.1 and v0.3 models, especially in the "Q-Anchored (PopQA)" series, suggests that changes in the model architecture or training data may have exacerbated this performance degradation in the later layers. The smaller decrease in ΔP for answer-anchored tasks could imply that the model is more robust or efficient at processing information when the answer is the primary focus. The variability indicated by the shaded regions highlights the need for further investigation to understand the consistency and reliability of these performance trends.

\n ## Line Chart: ΔP vs. Layer for Mistral Models ### Overview The image presents two line charts, side-by-side, comparing the change in performance (ΔP) across different layers of two Mistral language models: Mistral-7B-v0.1 and Mistral-7B-v0.3. Each chart displays multiple lines representing different question-answering datasets and anchoring methods. The x-axis represents the layer number, and the y-axis represents ΔP. ### Components/Axes * **X-axis:** Layer (ranging from approximately 0 to 32). * **Y-axis:** ΔP (ranging from approximately -15 to 0). * **Left Chart Title:** Mistral-7B-v0.1 * **Right Chart Title:** Mistral-7B-v0.3 * **Legend (Bottom-Left):** * Q-Anchored (PopQA) - Blue solid line * A-Anchored (PopQA) - Orange dashed line * Q-Anchored (TriviaQA) - Purple solid line * A-Anchored (TriviaQA) - Red dashed line * Q-Anchored (HotpotQA) - Green dashed-dotted line * A-Anchored (HotpotQA) - Light Green dashed-dotted line * Q-Anchored (NQ) - Cyan solid line * A-Anchored (NQ) - Gray dashed line ### Detailed Analysis or Content Details **Mistral-7B-v0.1 (Left Chart):** * **Q-Anchored (PopQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = 0 until Layer 18, then sharply declines to approximately ΔP = -14 at Layer 32. * **A-Anchored (PopQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -12 at Layer 32. * **Q-Anchored (TriviaQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = 0 until Layer 18, then declines to approximately ΔP = -10 at Layer 32. * **A-Anchored (TriviaQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -11 at Layer 32. * **Q-Anchored (HotpotQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -10 at Layer 32. * **A-Anchored (HotpotQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -11 at Layer 32. * **Q-Anchored (NQ):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = 0 until Layer 18, then declines to approximately ΔP = -8 at Layer 32. * **A-Anchored (NQ):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -10 at Layer 32. **Mistral-7B-v0.3 (Right Chart):** * **Q-Anchored (PopQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = 0 until Layer 18, then declines to approximately ΔP = -8 at Layer 32. * **A-Anchored (PopQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -7 at Layer 32. * **Q-Anchored (TriviaQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = 0 until Layer 18, then declines to approximately ΔP = -6 at Layer 32. * **A-Anchored (TriviaQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -7 at Layer 32. * **Q-Anchored (HotpotQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -7 at Layer 32. * **A-Anchored (HotpotQA):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -8 at Layer 32. * **Q-Anchored (NQ):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = 0 until Layer 18, then declines to approximately ΔP = -5 at Layer 32. * **A-Anchored (NQ):** The line starts at approximately ΔP = 0 at Layer 0, remains relatively stable around ΔP = -1 until Layer 18, then declines to approximately ΔP = -6 at Layer 32. ### Key Observations * In both models, all lines exhibit a relatively flat trend until approximately Layer 18, after which they begin to decline. * The decline in ΔP is more pronounced in Mistral-7B-v0.1 than in Mistral-7B-v0.3. * Q-Anchored lines generally show a larger decline in ΔP compared to A-Anchored lines. * PopQA consistently shows the largest decline in ΔP. ### Interpretation The charts illustrate how the performance of the Mistral models changes across different layers, as measured by ΔP for various question-answering datasets and anchoring methods. The initial stability suggests that the early layers contribute relatively equally to performance across datasets. The subsequent decline, particularly after Layer 18, indicates that deeper layers may be less effective or even detrimental to performance, potentially due to overfitting or the emergence of undesirable behaviors. The difference between the two models (v0.1 vs. v0.3) suggests that the newer version (v0.3) exhibits improved stability and less performance degradation in deeper layers. The variations between datasets (PopQA, TriviaQA, HotpotQA, NQ) highlight the sensitivity of performance to the specific characteristics of the question-answering task. The anchoring method (Q-Anchored vs. A-Anchored) also influences performance, with Q-Anchored generally showing a greater decline, potentially indicating that anchoring questions is more sensitive to layer depth than anchoring answers. The consistent decline across most lines suggests a systematic issue, while the differences between lines point to specific areas for further investigation and optimization. The charts provide valuable insights into the behavior of these language models and can guide efforts to improve their performance and robustness.

\n ## Line Charts: Mistral-7B Model Layer-wise ΔP Analysis ### Overview The image displays two side-by-side line charts comparing the layer-wise change in a metric (ΔP) for two versions of the Mistral-7B language model: v0.1 (left) and v0.3 (right). Each chart plots multiple data series representing different question-answering datasets, using two anchoring methods ("Q-Anchored" and "A-Anchored"). ### Components/Axes * **Chart Titles:** * Left Chart: `Mistral-7B-v0.1` * Right Chart: `Mistral-7B-v0.3` * **X-Axis (Both Charts):** * Label: `Layer` * Scale: Linear, from 0 to 30, with major ticks at 0, 10, 20, 30. * **Y-Axis (Both Charts):** * Label: `ΔP` (Delta P) * Scale: Linear. * Left Chart (v0.1): Ranges from approximately -15 to 0. * Right Chart (v0.3): Ranges from approximately -20 to 0. * **Legend (Bottom, spanning both charts):** * The legend is positioned below the two chart panels. * It defines 8 data series using a combination of color and line style (solid vs. dashed). * **Legend Entries (Transcribed):** 1. `Q-Anchored (PopQA)` - Solid blue line. 2. `A-Anchored (PopQA)` - Dashed orange line. 3. `Q-Anchored (TriviaQA)` - Solid green line. 4. `A-Anchored (TriviaQA)` - Dashed red line. 5. `Q-Anchored (HotpotQA)` - Solid purple line. 6. `A-Anchored (HotpotQA)` - Dashed brown line. 7. `Q-Anchored (NQ)` - Solid pink line. 8. `A-Anchored (NQ)` - Dashed gray line. ### Detailed Analysis **Chart 1: Mistral-7B-v0.1 (Left Panel)** * **General Trend:** All data series begin near ΔP = 0 at Layer 0. As the layer number increases, the ΔP values for all series trend downward (become more negative), indicating a decrease in the measured metric. The decline is gradual until approximately Layer 15-20, after which the lines become more volatile and show steeper drops. * **Series-Specific Observations:** * **Q-Anchored (PopQA) [Solid Blue]:** Shows a moderate decline, with a notable sharp dip around Layer 27-28, reaching near -12, before recovering slightly. * **A-Anchored (PopQA) [Dashed Orange]:** Follows a smoother, less volatile downward trend compared to its Q-Anchored counterpart. * **Q-Anchored (TriviaQA) [Solid Green]:** Exhibits one of the most significant declines, with a steep drop starting around Layer 20 and reaching the lowest point on this chart, approximately -14, near Layer 30. * **A-Anchored (TriviaQA) [Dashed Red]:** Declines steadily but remains less negative than the Q-Anchored version. * **Q-Anchored (HotpotQA) [Solid Purple]:** Shows high volatility in the later layers (25-30), with multiple sharp peaks and troughs. * **A-Anchored (HotpotQA) [Dashed Brown]:** Follows a relatively smooth downward path. * **Q-Anchored (NQ) [Solid Pink]:** Declines steadily, clustering with several other lines in the mid-range of negativity. * **A-Anchored (NQ) [Dashed Gray]:** Similar to other A-Anchored series, showing a smoother decline. **Chart 2: Mistral-7B-v0.3 (Right Panel)** * **General Trend:** Similar to v0.1, all series start near 0 and trend downward. However, the magnitude of the negative ΔP is generally larger in v0.3, especially in the final layers (25-30), where the Y-axis extends to -20. The volatility in the later layers appears more pronounced. * **Series-Specific Observations:** * **Q-Anchored (PopQA) [Solid Blue]:** Displays extreme volatility after Layer 25, with a dramatic plunge to approximately -18 around Layer 29, the single lowest point visible in either chart. * **A-Anchored (PopQA) [Dashed Orange]:** Shows a more consistent decline than in v0.1 but still exhibits more late-layer volatility. * **Q-Anchored (TriviaQA) [Solid Green]:** Again shows a very steep decline, dropping below -15 after Layer 25. * **A-Anchored (TriviaQA) [Dashed Red]:** Follows a downward trend, less severe than the Q-Anchored line. * **Q-Anchored (HotpotQA) [Solid Purple]:** Highly volatile in the final quarter of the layers, with sharp oscillations. * **A-Anchored (HotpotQA) [Dashed Brown]:** Shows a clear downward trend with moderate volatility. * **Q-Anchored (NQ) [Solid Pink]:** Declines significantly, clustering with the other Q-Anchored lines in the deep negative region. * **A-Anchored (NQ) [Dashed Gray]:** Shows a steady decline, generally less negative than the Q-Anchored NQ line. ### Key Observations 1. **Version Comparison:** The ΔP metric becomes more negative and exhibits greater volatility in the later layers (20-30) for model version v0.3 compared to v0.1. 2. **Anchoring Method Effect:** Across all datasets and both model versions, the **Q-Anchored** variants (solid lines) consistently show more negative ΔP values and higher volatility in deeper layers than their **A-Anchored** (dashed line) counterparts. 3. **Dataset Sensitivity:** The **TriviaQA** (green lines) and **PopQA** (blue lines) datasets, particularly when Q-Anchored, appear most sensitive, showing the largest negative ΔP values. The **NQ** and **HotpotQA** datasets show significant but slightly less extreme changes. 4. **Layer-wise Pattern:** The metric is relatively stable in early layers (0-15), begins to diverge and decline in middle layers (15-25), and shows the most dramatic changes and instability in the final layers (25-30). ### Interpretation This visualization likely analyzes how internal model representations or behaviors change across layers for different factual question-answering tasks. The metric **ΔP** probably represents a change in probability, performance, or some probing metric between a baseline and a condition. * **What the data suggests:** The consistent negative trend indicates that as information propagates through the model's layers, the measured property (ΔP) decreases. The greater negativity in v0.3 suggests this effect is amplified in the newer model version. * **Relationship between elements:** The stark contrast between Q-Anchored and A-Anchored lines is the most critical finding. It implies that the model's processing or representation of the *question* (Q) leads to a more significant shift in the measured metric across layers than processing the *answer* (A). This could point to differences in how the model encodes or utilizes query versus answer information hierarchically. * **Notable anomalies:** The extreme, sharp drops for Q-Anchored PopQA and TriviaQA in the final layers of v0.3 are significant outliers. They may indicate specific layers where the model's processing for these question types undergoes a drastic transformation or where the probing metric becomes particularly sensitive. * **Why it matters:** This layer-wise analysis provides a "microscopic" view of model internals. It helps researchers understand not just *if* a model knows something, but *how* and *where* that knowledge is processed and transformed. The differences between model versions (v0.1 vs. v0.3) and anchoring methods offer clues for model debugging, interpretability, and understanding the impact of architectural or training changes.

## Line Graph: ΔP vs. Layer for Mistral-7B Models v0.1 and v0.3 ### Overview The image contains two side-by-side line graphs comparing the performance of different anchoring methods (Q-Anchored and A-Anchored) across layers (0–30) in two versions of the Mistral-7B model (v0.1 and v0.3). The y-axis represents ΔP (change in performance), and the x-axis represents model layers. Each graph includes multiple data series with distinct line styles and colors, representing combinations of anchoring methods and datasets (e.g., PopQA, TriviaQA, HotpotQA, NQ). ### Components/Axes - **Y-Axis**: ΔP (change in performance), ranging from -20 to 0. - **X-Axis**: Layer (0–30), representing model depth. - **Legends**: - **Left Panel (v0.1)**: - Solid blue: Q-Anchored (PopQA) - Dashed green: Q-Anchored (TriviaQA) - Dotted red: A-Anchored (PopQA) - Dash-dot purple: A-Anchored (TriviaQA) - **Right Panel (v0.3)**: - Solid blue: Q-Anchored (HotpotQA) - Dashed green: Q-Anchored (NQ) - Dotted red: A-Anchored (HotpotQA) - Dash-dot purple: A-Anchored (NQ) - **Shaded Regions**: Error margins or confidence intervals around each line. ### Detailed Analysis #### Left Panel (Mistral-7B-v0.1): 1. **Q-Anchored (PopQA)**: Solid blue line starts near 0, dips sharply to ~-15 at layer 15, then fluctuates upward. 2. **Q-Anchored (TriviaQA)**: Dashed green line remains relatively stable, with minor dips to ~-5. 3. **A-Anchored (PopQA)**: Dotted red line shows gradual decline to ~-10, with a sharp drop at layer 25. 4. **A-Anchored (TriviaQA)**: Dash-dot purple line fluctuates minimally, staying near 0. #### Right Panel (Mistral-7B-v0.3): 1. **Q-Anchored (HotpotQA)**: Solid blue line starts near 0, dips to ~-10 at layer 10, then stabilizes. 2. **Q-Anchored (NQ)**: Dashed green line shows erratic fluctuations, peaking at ~-5 and dropping to ~-15 at layer 30. 3. **A-Anchored (HotpotQA)**: Dotted red line declines steadily to ~-15, with a sharp drop at layer 25. 4. **A-Anchored (NQ)**: Dash-dot purple line remains stable, with minor dips to ~-5. ### Key Observations - **Layer-Specific Variability**: Sharp drops (e.g., layer 15 in v0.1, layer 25 in v0.3) suggest critical layer interactions affecting ΔP. - **Dataset Impact**: Methods using HotpotQA and NQ datasets exhibit larger ΔP fluctuations compared to PopQA and TriviaQA. - **Model Version Differences**: v0.3 shows more pronounced dips in A-Anchored methods, indicating architectural changes. - **Error Margins**: Shaded regions highlight inconsistency in Q-Anchored (NQ) and A-Anchored (HotpotQA) across layers. ### Interpretation The data suggests that anchoring methods significantly influence ΔP, with dataset choice and model version amplifying these effects. For example: - **Q-Anchored (PopQA)** in v0.1 shows the most drastic performance drop, possibly due to layer-specific dependencies. - **A-Anchored (HotpotQA)** in v0.3 exhibits the largest cumulative ΔP decline, hinting at architectural sensitivity in deeper layers. - The stability of TriviaQA and NQ in A-Anchored methods suggests robustness in certain configurations. The shaded regions indicate that performance variability is dataset-dependent, with HotpotQA and NQ showing higher uncertainty. These trends may reflect differences in question complexity or answer diversity across datasets. Further investigation into layer-specific mechanisms (e.g., attention patterns) could clarify these effects.