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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. 3-RES-JB
    11. 3834
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    VL
    -0.73
    Las
    -0.71
     Rouge
    -0.69
     Chick
    -0.68
    Mods
    -0.68
     Coco
    -0.68
    GD
    -0.67
     Gamergate
    -0.67
     Huang
    -0.67
    VW
    -0.65
    POSITIVE LOGITS
    emonic
    0.78
    .","
    0.65
    dayName
    0.64
     onward
    0.64
     srfAttach
    0.64
     sake
    0.63
     onwards
    0.63
     courage
    0.62
    ospital
    0.62
     willing
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.