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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. 9-RES-JB
    11. 22789
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    Explanations

    legal acts or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative acts and laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Prin
    -0.69
    stocks
    -0.64
    hiba
    -0.63
     Scion
    -0.63
    cash
    -0.63
    BALL
    -0.62
     experien
    -0.61
     Trance
    -0.60
    managed
    -0.60
     crate
    -0.59
    POSITIVE LOGITS
     Amendments
    1.20
    uary
    1.14
    iard
    0.90
    ors
    0.87
    ional
    0.86
    rine
    0.81
     enforcement
    0.81
    uum
    0.78
     1958
    0.76
     Amendment
    0.76
    Activations Density 0.044%

    No Known Activations