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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. 3-RES-JB
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    Explanations

    specific legal terms or legislative elements frequently mentioned in bills or regulations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "provisions" in relation to legislation or regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psy
    -0.82
    arton
    -0.68
    duino
    -0.66
    CV
    -0.66
    ritz
    -0.66
     scalp
    -0.64
     Gall
    -0.64
    cli
    -0.63
    ampa
    -0.63
    oca
    -0.62
    POSITIVE LOGITS
    witz
    0.95
     provisions
    0.86
    ality
    0.81
     stip
    0.78
     enacted
    0.75
    arians
    0.73
    uggest
    0.72
    alities
    0.71
     Amendments
    0.70
    iveness
    0.70
    Activations Density 0.012%

    No Known Activations