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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. 9-RES-JB
    11. 19588
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    Explanations

    syntax elements and coding patterns commonly found in programming languages

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and loop structures in programming languages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    antz
    -0.74
    kefeller
    -0.70
    76561
    -0.70
    folios
    -0.70
    ingen
    -0.69
    vered
    -0.67
    football
    -0.63
    akia
    -0.63
    uther
    -0.62
    uding
    -0.62
    POSITIVE LOGITS
     (!
    0.97
     ((
    0.87
     {
    0.87
     !
    0.83
     len
    0.80
    ((
    0.78
     __
    0.71
     !=
    0.71
     [[
    0.69
     [];
    0.69
    Activations Density 0.043%

    No Known Activations