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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. 1-RES-JB
    11. 845
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     corrid
    -0.74
     ranc
    -0.69
     wrench
    -0.66
     roast
    -0.65
     roundup
    -0.65
     Chinatown
    -0.64
     Rivera
    -0.63
     Proposition
    -0.62
     sab
    -0.62
     Dress
    -0.62
    POSITIVE LOGITS
    sites
    0.95
    doors
    0.85
    ahead
    0.82
    matter
    0.81
    picture
    0.77
    ofi
    0.75
    conscious
    0.75
    YES
    0.74
    yg
    0.73
    patient
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.