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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. 7750
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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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    No Comments

    Negative Logits
     metic
    -0.87
    yrinth
    -0.87
     exha
    -0.82
    ichick
    -0.79
     tremend
    -0.78
     scrut
    -0.76
     corrid
    -0.75
    elong
    -0.74
     certific
    -0.73
     notor
    -0.73
    POSITIVE LOGITS
     Haram
    0.69
    aco
    0.69
    --
    0.67
    ridges
    0.65
    hots
    0.65
    oning
    0.64
    hood
    0.64
     rocks
    0.63
     Trees
    0.62
    rers
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.