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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 575
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    Explanations

    clauses mentioned within text

    oai_token-act-pair · gpt-3.5-turbo

    references to legal clauses

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oppable
    -0.83
    aukee
    -0.76
    ersen
    -0.75
    ritz
    -0.74
    ESCO
    -0.67
     Popular
    -0.66
    VERTIS
    -0.64
    algia
    -0.64
    Rated
    -0.64
     Pixar
    -0.64
    POSITIVE LOGITS
    witz
    1.64
     clauses
    0.92
     stip
    0.82
     clause
    0.77
    rences
    0.76
    ttes
    0.75
     loophole
    0.72
    iao
    0.71
     clinch
    0.71
     delim
    0.70
    Activations Density 0.005%

    No Known Activations