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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. 11-RES-JB
    11. 14401
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    Explanations

    large numeric figures

    oai_token-act-pair · gpt-3.5-turbo

    numeric values, particularly in the context of statistics or data reporting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hran
    -0.74
    especially
    -0.72
    rounder
    -0.69
     Mub
    -0.68
    inery
    -0.66
    bara
    -0.65
    iona
    -0.63
    achev
    -0.63
    pson
    -0.61
    redo
    -0.61
    POSITIVE LOGITS
     SHARES
    0.88
    EStreamFrame
    0.87
     lbs
    0.86
     sq
    0.82
     acres
    0.81
     bytes
    0.81
     calories
    0.80
     kcal
    0.79
     pounds
    0.79
     total
    0.78
    Activations Density 0.111%

    No Known Activations