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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. 6-RES-JB
    6. 3145
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    Explanations

    words related to rules, regulations, and enforcement

    oai_token-act-pair · gpt-3.5-turbo

    references to rules and laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ité
    -0.90
    itate
    -0.88
    acters
    -0.78
     Pradesh
    -0.75
    issance
    -0.75
     Hots
    -0.73
    itant
    -0.72
    velength
    -0.72
    assador
    -0.72
    ity
    -0.71
    POSITIVE LOGITS
    book
    1.21
    books
    1.12
    making
    0.99
    breaker
    0.92
    breakers
    0.91
    maker
    0.89
    makers
    0.84
    witz
    0.81
    lessness
    0.80
     rule
    0.77
    Activations Density 0.021%

    No Known Activations