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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. 4-RES-JB
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    Explanations

    references to legal or legislative provisions

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative provisions in the context of laws or bills

    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
    psy
    -0.71
    ampa
    -0.68
    Pie
    -0.66
    ritz
    -0.65
    ravis
    -0.62
     scalp
    -0.62
    raid
    -0.61
     Gall
    -0.61
    CV
    -0.60
    asu
    -0.60
    POSITIVE LOGITS
    ality
    0.91
    witz
    0.90
     provisions
    0.85
    ional
    0.82
    alities
    0.81
    iveness
    0.80
     enacted
    0.77
    arians
    0.76
     Amendments
    0.75
    ally
    0.73
    Activations Density 0.011%

    No Known Activations