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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. 12220
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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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    No Comments

    Negative Logits
    arna
    -0.75
    ements
    -0.74
    ruary
    -0.70
    alities
    -0.70
    FTWARE
    -0.69
    ERAL
    -0.69
    stroke
    -0.69
    prints
    -0.66
    neau
    -0.65
    arel
    -0.65
    POSITIVE LOGITS
     kinderg
    0.73
     Watts
    0.69
    velt
    0.65
    tml
    0.65
     Sax
    0.63
    itability
    0.63
    Aff
    0.63
     Disco
    0.62
     Cohn
    0.62
    GMT
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.