## Chart Type: Line Graphs Comparing "I-Don't-Know" Rates of Mistral-7B Models ### Overview The image presents two line graphs side-by-side, comparing the "I-Don't-Know" rates of two versions of the Mistral-7B model (v0.1 and v0.3) across different layers. Each graph plots the "I-Don't-Know" rate against the layer number for various question-answering datasets, distinguished by different line styles and colors. The x-axis represents the layer number, ranging from 0 to 30. The y-axis represents the "I-Don't-Know" rate, ranging from 0 to 100. ### 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: "I-Don't-Know Rate" * Scale: 0 to 100, with tick marks at intervals of 20. * **Legend:** Located at the bottom of the image, describing the different data series: * Blue solid line: "Q-Anchored (PopQA)" * Brown dashed line: "A-Anchored (PopQA)" * Green dotted line: "Q-Anchored (TriviaQA)" * Orange dashed-dotted line: "A-Anchored (TriviaQA)" * Pink dashed line: "Q-Anchored (HotpotQA)" * Gray dotted line: "A-Anchored (HotpotQA)" * Purple dashed-dotted line: "Q-Anchored (NQ)" * Black dotted line: "A-Anchored (NQ)" ### Detailed Analysis **Left Graph: Mistral-7B-v0.1** * **Q-Anchored (PopQA) (Blue solid line):** Starts high (around 60-70) and rapidly decreases to around 10-20 by layer 10, then fluctuates between 0 and 20 for the remaining layers. * **A-Anchored (PopQA) (Brown dashed line):** Starts around 60-70 and remains relatively stable between 60 and 80 across all layers, with some fluctuations. * **Q-Anchored (TriviaQA) (Green dotted line):** Starts around 60-70 and decreases to around 10-20 by layer 10, then fluctuates between 10 and 30 for the remaining layers. * **A-Anchored (TriviaQA) (Orange dashed-dotted line):** Starts around 60-70 and remains relatively stable between 60 and 80 across all layers, with some fluctuations. * **Q-Anchored (HotpotQA) (Pink dashed line):** Starts around 40-50 and decreases to around 20-30 by layer 10, then fluctuates between 20 and 40 for the remaining layers. * **A-Anchored (HotpotQA) (Gray dotted line):** Starts around 70-80 and remains relatively stable between 70 and 90 across all layers, with some fluctuations. * **Q-Anchored (NQ) (Purple dashed-dotted line):** Starts around 40-50 and decreases to around 10-20 by layer 10, then fluctuates between 10 and 30 for the remaining layers. * **A-Anchored (NQ) (Black dotted line):** Starts around 70-80 and remains relatively stable between 70 and 90 across all layers, with some fluctuations. **Right Graph: Mistral-7B-v0.3** * **Q-Anchored (PopQA) (Blue solid line):** Starts high (around 90-100) and rapidly decreases to around 10-20 by layer 10, then fluctuates between 10 and 20 for the remaining layers. * **A-Anchored (PopQA) (Brown dashed line):** Starts around 60-70 and remains relatively stable between 60 and 80 across all layers, with some fluctuations. * **Q-Anchored (TriviaQA) (Green dotted line):** Starts around 60-70 and decreases to around 10-20 by layer 10, then fluctuates between 10 and 30 for the remaining layers. * **A-Anchored (TriviaQA) (Orange dashed-dotted line):** Starts around 70-80 and remains relatively stable between 70 and 90 across all layers, with some fluctuations. * **Q-Anchored (HotpotQA) (Pink dashed line):** Starts around 60-70 and decreases to around 30-40 by layer 10, then fluctuates between 30 and 50 for the remaining layers. * **A-Anchored (HotpotQA) (Gray dotted line):** Starts around 70-80 and remains relatively stable between 70 and 90 across all layers, with some fluctuations. * **Q-Anchored (NQ) (Purple dashed-dotted line):** Starts around 60-70 and decreases to around 20-30 by layer 10, then fluctuates between 20 and 40 for the remaining layers. * **A-Anchored (NQ) (Black dotted line):** Starts around 70-80 and remains relatively stable between 70 and 90 across all layers, with some fluctuations. ### Key Observations * For both Mistral-7B-v0.1 and Mistral-7B-v0.3, the "I-Don't-Know" rate for Q-Anchored datasets (PopQA, TriviaQA, HotpotQA, NQ) generally decreases in the initial layers (0-10) and then stabilizes. * The "I-Don't-Know" rate for A-Anchored datasets (PopQA, TriviaQA, HotpotQA, NQ) remains relatively stable across all layers for both versions of the model. * The initial "I-Don't-Know" rate for Q-Anchored (PopQA) is higher in Mistral-7B-v0.3 compared to Mistral-7B-v0.1. ### Interpretation The graphs suggest that the Mistral-7B models handle question-anchored and answer-anchored datasets differently. The decreasing "I-Don't-Know" rate for Q-Anchored datasets in the initial layers indicates that the model is learning to answer these questions as it processes the input through the layers. The stable "I-Don't-Know" rate for A-Anchored datasets suggests that the model may be less sensitive to the layer number when the answer is provided as context. The higher initial "I-Don't-Know" rate for Q-Anchored (PopQA) in Mistral-7B-v0.3 might indicate a change in the model's initial processing of this specific dataset. Overall, the data highlights the importance of considering the anchoring method (question vs. answer) when evaluating the performance of language models on question-answering tasks.

## Line Chart: I-Don't-Know Rate vs. Layer for Mistral Models ### Overview The image presents two line charts, side-by-side, comparing the "I-Don't-Know Rate" across different layers of two Mistral language models: Mistral-7B-v0.1 and Mistral-7B-v0.3. The x-axis represents the "Layer" (ranging from 0 to 30), and the y-axis represents the "I-Don't-Know Rate" (ranging from 0 to 100). Each chart displays multiple lines, each representing a different question-answering dataset and anchoring method. Shaded areas around each line indicate the variance or confidence interval. ### Components/Axes * **X-axis:** Layer (0 to 30) * **Y-axis:** I-Don't-Know Rate (0 to 100) * **Left Chart Title:** Mistral-7B-v0.1 * **Right Chart Title:** Mistral-7B-v0.3 * **Legend:** * 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) - Brown dashed-dotted line * A-Anchored (HotpotQA) - Green solid line * Q-Anchored (NQ) - Teal dashed line * A-Anchored (NQ) - Grey solid line ### Detailed Analysis or Content Details **Mistral-7B-v0.1 (Left Chart):** * **Q-Anchored (PopQA):** Starts at approximately 80, rapidly decreases to around 10 by layer 5, then fluctuates between 10 and 20 for the remainder of the layers. * **A-Anchored (PopQA):** Starts at approximately 85, decreases to around 60 by layer 5, then remains relatively stable between 60 and 75 for the rest of the layers. * **Q-Anchored (TriviaQA):** Starts at approximately 70, decreases to around 30 by layer 5, then fluctuates between 30 and 50 for the remainder of the layers. * **A-Anchored (TriviaQA):** Starts at approximately 75, decreases to around 55 by layer 5, then remains relatively stable between 55 and 70 for the rest of the layers. * **Q-Anchored (HotpotQA):** Starts at approximately 80, decreases to around 40 by layer 5, then fluctuates between 40 and 60 for the remainder of the layers. * **A-Anchored (HotpotQA):** Starts at approximately 75, decreases to around 40 by layer 5, then remains relatively stable between 40 and 55 for the rest of the layers. * **Q-Anchored (NQ):** Starts at approximately 60, decreases to around 20 by layer 5, then fluctuates between 20 and 30 for the remainder of the layers. * **A-Anchored (NQ):** Starts at approximately 65, decreases to around 30 by layer 5, then remains relatively stable between 30 and 40 for the rest of the layers. **Mistral-7B-v0.3 (Right Chart):** * **Q-Anchored (PopQA):** Starts at approximately 80, rapidly decreases to around 10 by layer 5, then fluctuates between 10 and 20 for the remainder of the layers. * **A-Anchored (PopQA):** Starts at approximately 85, decreases to around 60 by layer 5, then remains relatively stable between 60 and 75 for the rest of the layers. * **Q-Anchored (TriviaQA):** Starts at approximately 70, decreases to around 30 by layer 5, then fluctuates between 30 and 50 for the remainder of the layers. * **A-Anchored (TriviaQA):** Starts at approximately 75, decreases to around 55 by layer 5, then remains relatively stable between 55 and 70 for the rest of the layers. * **Q-Anchored (HotpotQA):** Starts at approximately 80, decreases to around 40 by layer 5, then fluctuates between 40 and 60 for the remainder of the layers. * **A-Anchored (HotpotQA):** Starts at approximately 75, decreases to around 40 by layer 5, then remains relatively stable between 40 and 55 for the rest of the layers. * **Q-Anchored (NQ):** Starts at approximately 60, decreases to around 20 by layer 5, then fluctuates between 20 and 30 for the remainder of the layers. * **A-Anchored (NQ):** Starts at approximately 65, decreases to around 30 by layer 5, then remains relatively stable between 30 and 40 for the rest of the layers. ### Key Observations * All lines in both charts exhibit a steep decline in "I-Don't-Know Rate" from layer 0 to layer 5. * After layer 5, the "I-Don't-Know Rate" stabilizes, with fluctuations generally within a range of 10-75. * "A-Anchored" lines consistently show higher "I-Don't-Know Rates" than their corresponding "Q-Anchored" counterparts across all datasets. * The two charts (v0.1 and v0.3) are remarkably similar in shape and trend, suggesting that the model updates between versions did not drastically alter the "I-Don't-Know Rate" behavior. * PopQA consistently has the highest I-Don't-Know rate, while NQ has the lowest. ### Interpretation The charts demonstrate how the model's confidence (or lack thereof) evolves across its layers. The initial high "I-Don't-Know Rate" likely reflects the model's initial uncertainty as it processes input. The rapid decrease from layer 0 to 5 suggests that the model quickly learns to extract relevant information and form initial responses. The stabilization after layer 5 indicates that further layers contribute less to reducing uncertainty. The difference between "Q-Anchored" and "A-Anchored" lines suggests that the method of anchoring (question vs. answer) impacts the model's confidence. The higher "I-Don't-Know Rate" for "A-Anchored" lines could indicate that the model finds it more challenging to reason from answers than from questions. The similarity between the two model versions (v0.1 and v0.3) suggests that the updates primarily focused on improving performance without fundamentally changing the model's confidence profile. The differences in I-Don't-Know rates across datasets (PopQA, TriviaQA, HotpotQA, NQ) likely reflect the inherent difficulty and complexity of each dataset. PopQA appears to be the most challenging, while NQ is the easiest for the model to answer.

## Line Chart with Error Bands: Mistral-7B Model Layer-wise "I-Don't-Know" Rate Analysis ### Overview The image displays two side-by-side line charts comparing the "I-Don't-Know Rate" across the layers of two versions of the Mistral-7B language model: v0.1 (left) and v0.3 (right). Each chart plots eight data series, representing two anchoring methods (Q-Anchored and A-Anchored) evaluated on four different question-answering datasets (PopQA, TriviaQA, HotpotQA, NQ). The lines show the rate trend across model layers (0 to 32), with shaded regions indicating uncertainty or variance. ### Components/Axes * **Chart Titles:** * Left Chart: `Mistral-7B-v0.1` * Right Chart: `Mistral-7B-v0.3` * **Y-Axis (Both Charts):** Label: `I-Don't-Know Rate`. Scale: 0 to 100, with major ticks at 0, 20, 40, 60, 80, 100. * **X-Axis (Both Charts):** Label: `Layer`. Scale: 0 to 32, with major ticks at 0, 10, 20, 30. * **Legend (Bottom, spanning both charts):** Contains 8 entries, differentiating lines by color and style (solid for Q-Anchored, dashed for A-Anchored). * `Q-Anchored (PopQA)`: Solid blue line * `A-Anchored (PopQA)`: Dashed orange line * `Q-Anchored (TriviaQA)`: Solid green line * `A-Anchored (TriviaQA)`: Dashed red line * `Q-Anchored (HotpotQA)`: Solid purple line * `A-Anchored (HotpotQA)`: Dashed brown line * `Q-Anchored (NQ)`: Solid pink line * `A-Anchored (NQ)`: Dashed gray line ### Detailed Analysis **Chart 1: Mistral-7B-v0.1** * **Q-Anchored Series (Solid Lines):** All four series show a similar, dramatic trend. They start at a very high "I-Don't-Know Rate" (approximately 80-100) at Layer 0. There is a sharp, precipitous drop within the first 5-7 layers, falling to rates between ~10 and ~40. After this initial drop, the rates fluctuate with moderate volatility across the remaining layers (10-32). The blue line (PopQA) ends the lowest, near 0-10. The pink line (NQ) ends the highest among this group, near 40-50. * **A-Anchored Series (Dashed Lines):** These series exhibit a markedly different pattern. They start at a moderate rate (approximately 50-70) at Layer 0. They show a slight initial increase or stability in the early layers, followed by a general, gradual upward trend with fluctuations. By Layer 32, all A-Anchored series converge in a high range, approximately between 70 and 90. The orange line (PopQA) and red line (TriviaQA) appear to be among the highest at the final layer. **Chart 2: Mistral-7B-v0.3** * **Q-Anchored Series (Solid Lines):** The pattern is broadly similar to v0.1 but with notable differences in magnitude. The initial drop from Layer 0 is still present but appears less severe for some datasets. The post-drop fluctuation occurs at a generally higher baseline. For example, the blue line (PopQA) stabilizes around 10-20 instead of near 0. The pink line (NQ) fluctuates between 40-60. * **A-Anchored Series (Dashed Lines):** These series also start in the 50-70 range and trend upward. The final values at Layer 32 appear slightly higher and more tightly clustered than in v0.1, mostly between 75 and 95. The separation between the A-Anchored cluster and the Q-Anchored cluster is more pronounced in the later layers compared to v0.1. ### Key Observations 1. **Fundamental Dichotomy:** There is a clear and consistent separation in behavior between Q-Anchored and A-Anchored evaluation methods across both model versions. Q-Anchored rates drop sharply early on, while A-Anchored rates trend upward gradually. 2. **Layer Sensitivity:** The model's tendency to output "I don't know" is highly sensitive to the specific layer being probed, especially in the first quarter of the network (Layers 0-8). 3. **Model Version Difference:** Mistral-7B-v0.3 shows a general increase in the "I-Don't-Know Rate" for both anchoring methods compared to v0.1, particularly in the middle and later layers. The Q-Anchored rates in v0.3 do not fall as low as in v0.1. 4. **Dataset Variation:** While the overall trend is consistent per anchoring method, the specific rate values differ by dataset. For instance, NQ (pink/gray) consistently shows higher Q-Anchored rates than PopQA (blue/orange) in the later layers of both models. ### Interpretation This data suggests a fundamental difference in what the Q-Anchored and A-Anchored probing methods measure within the Mistral-7B model's internal representations. * **Q-Anchored (Question-Anchored)** probing likely measures the model's *confidence in generating an answer* given the question context. The sharp early drop indicates that by the early-to-mid layers, the model has already committed to generating *some* answer token (whether correct or not), drastically reducing its propensity to explicitly state uncertainty. The low final rates suggest the model rarely defaults to "I don't know" when conditioned on the question alone in its later processing stages. * **A-Anchored (Answer-Anchored)** probing likely measures the model's *ability to recognize or validate a given answer*. The gradual upward trend suggests that as information propagates through deeper layers, the model becomes *more likely* to reject a provided answer as incorrect or unsupported, hence increasing the "I-Don't-Know" rate. This reflects a growing critical evaluation mechanism. The increase in rates from v0.1 to v0.3 could indicate a shift in the model's training or alignment, making it either more cautious (higher A-Anchored rejection) or less confident in its initial recall (higher Q-Anchored uncertainty). The charts reveal that a model's "uncertainty" is not a single value but a dynamic property that depends heavily on *how* and *where* within its architecture it is measured.

## Line Chart: I-Don't-Know Rate Across Layers in Mistral-7B Models ### Overview The image contains two side-by-side line charts comparing the "I-Don't-Know Rate" (y-axis) across 30 layers (x-axis) for two versions of the Mistral-7B model (v0.1 and v0.3). Each chart includes six data series differentiated by line styles and colors, representing various anchoring methods and datasets (PopQA, TriviaQA, HotpotQA, NQ). ### Components/Axes - **X-axis**: Layer (0–30, integer ticks) - **Y-axis**: I-Don't-Know Rate (%) (0–100, integer ticks) - **Legends**: - **Left Chart (v0.1)**: - Solid blue: Q-Anchored (PopQA) - Dashed orange: A-Anchored (PopQA) - Dotted green: Q-Anchored (TriviaQA) - Dash-dot red: A-Anchored (TriviaQA) - Dash-dot-dot purple: Q-Anchored (HotpotQA) - Dotted gray: A-Anchored (HotpotQA) - **Right Chart (v0.3)**: - Solid blue: Q-Anchored (PopQA) - Dashed orange: A-Anchored (PopQA) - Dotted green: Q-Anchored (TriviaQA) - Dash-dot red: A-Anchored (TriviaQA) - Dash-dot-dot purple: Q-Anchored (NQ) - Dotted gray: A-Anchored (NQ) ### Detailed Analysis #### Left Chart (Mistral-7B-v0.1) - **Q-Anchored (PopQA)**: Starts at ~85%, dips to ~20% at layer 10, then fluctuates between 30–60%. - **A-Anchored (PopQA)**: Peaks at ~90% at layer 0, stabilizes around 60–80% with minor oscillations. - **Q-Anchored (TriviaQA)**: Begins at ~70%, drops to ~10% at layer 10, then rises to ~50% by layer 30. - **A-Anchored (TriviaQA)**: Starts at ~60%, fluctuates between 40–80%. - **Q-Anchored (HotpotQA)**: Peaks at ~95% at layer 0, drops to ~30% at layer 10, then stabilizes at ~50–70%. - **A-Anchored (HotpotQA)**: Starts at ~70%, fluctuates between 50–90%. #### Right Chart (Mistral-7B-v0.3) - **Q-Anchored (PopQA)**: Starts at ~70%, dips to ~20% at layer 10, then stabilizes at ~40–60%. - **A-Anchored (PopQA)**: Peaks at ~80% at layer 0, stabilizes around 60–80%. - **Q-Anchored (TriviaQA)**: Begins at ~60%, drops to ~10% at layer 10, then rises to ~40% by layer 30. - **A-Anchored (TriviaQA)**: Starts at ~50%, fluctuates between 30–70%. - **Q-Anchored (NQ)**: Peaks at ~90% at layer 0, drops to ~20% at layer 10, then stabilizes at ~40–60%. - **A-Anchored (NQ)**: Starts at ~60%, fluctuates between 40–80%. ### Key Observations 1. **Version Differences**: - v0.3 shows generally lower I-Don't-Know rates than v0.1 for most models (e.g., Q-Anchored PopQA drops from ~85% to ~70% at layer 0). - v0.3 exhibits smoother trends compared to v0.1’s sharper fluctuations. 2. **Anchoring Impact**: - Q-Anchored models consistently show lower rates than A-Anchored counterparts in both versions. - Exceptions: A-Anchored (HotpotQA) in v0.1 briefly exceeds Q-Anchored (HotpotQA) at layer 5. 3. **Dataset Variability**: - HotpotQA and NQ datasets exhibit the highest variability (e.g., Q-Anchored NQ in v0.3 peaks at ~90% at layer 0). - PopQA and TriviaQA datasets show more stable trends. ### Interpretation The data suggests that anchoring methods (Q vs. A) significantly influence the I-Don't-Know Rate, with Q-Anchored models generally performing better. Version v0.3 demonstrates improved stability across datasets, likely due to architectural refinements. However, the HotpotQA and NQ datasets remain outliers, indicating potential challenges in handling complex queries. The layer-specific fluctuations (e.g., sharp drops at layer 10) may reflect model architecture design choices, such as attention mechanisms or layer normalization. Further investigation into dataset-specific model behavior is warranted.