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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. 12580
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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
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.82
     dexter
    -0.77
     Canterbury
    -0.74
    resa
    -0.73
    orsi
    -0.70
    pherd
    -0.70
     occas
    -0.69
    andowski
    -0.69
    iott
    -0.69
    byn
    -0.68
    POSITIVE LOGITS
    itions
    0.89
    ition
    0.76
    itious
    0.74
    RED
    0.71
     IM
    0.67
    Introduced
    0.65
     retard
    0.64
    weight
    0.63
    urable
    0.63
    beta
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.