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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. 8-RES-JB
    11. 7275
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    Explanations

    requests or inquiries within text, particularly related to records, information, loans, or credit

    oai_token-act-pair · gpt-3.5-turbo

    legal terminology and references related to requests or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     duck
    -0.72
    laughs
    -0.70
     Nile
    -0.70
    Laughs
    -0.69
    bows
    -0.67
    itol
    -0.67
    ranean
    -0.65
    crazy
    -0.65
     miracle
    -0.64
    buquerque
    -0.64
    POSITIVE LOGITS
     "âĢ¦
    1.02
     "...
    0.95
     "(
    0.88
     "[
    0.88
    FIG
    0.85
     respondents
    0.83
     defendants
    0.82
     furthermore
    0.81
     Respond
    0.79
     respondent
    0.79
    Activations Density 0.638%

    No Known Activations