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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 entities and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of U.S. Attorneys

    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
    Ku
    -0.70
    ween
    -0.69
    crew
    -0.66
    ERO
    -0.65
    bows
    -0.64
    rophic
    -0.62
    amping
    -0.62
     RAF
    -0.62
    yip
    -0.62
    offer
    -0.62
    POSITIVE LOGITS
    alties
    0.90
     warr
    0.90
     General
    0.83
     Attorney
    0.79
    General
    0.79
    alty
    0.78
    ial
    0.77
     Prosecutor
    0.75
     prosec
    0.73
    iate
    0.70
    Activations Density 0.012%

    No Known Activations