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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. 4-RES-JB
    11. 21292
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    Explanations

    statistics or numerical information in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation or closing parentheses in statistical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    itory
    -0.80
    ciating
    -0.73
    rew
    -0.71
    resa
    -0.68
    raph
    -0.67
     answ
    -0.67
    ween
    -0.65
    ahu
    -0.64
    matically
    -0.64
    enta
    -0.64
    POSITIVE LOGITS
    ãĥİ
    0.80
    âĢ¦)
    0.68
     Protective
    0.67
     Committees
    0.66
     Gamb
    0.63
     Hurricanes
    0.62
     Medals
    0.62
     Reserved
    0.61
     Aberdeen
    0.61
     Cameroon
    0.60
    Activations Density 0.113%

    No Known Activations