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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 7979
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kai
    -0.72
    nen
    -0.71
    itsu
    -0.70
    ionic
    -0.66
    lime
    -0.66
    ische
    -0.65
    ken
    -0.65
    usa
    -0.65
    é¾į
    -0.65
    achu
    -0.63
    POSITIVE LOGITS
     st
    0.89
    MENT
    0.74
    itialized
    0.72
    inventoryQuantity
    0.68
     benches
    0.68
     Conclusion
    0.68
     staircase
    0.67
    MENTS
    0.66
     misunder
    0.66
     --------------------
    0.66
    Activations Density 0.000%

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