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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. 1-RES-JB
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    Explanations

    references to legal proceedings, court cases, and juries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of juries in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.78
    irst
    -0.77
    zl
    -0.68
     Tik
    -0.65
     Occupations
    -0.65
    eworld
    -0.64
    san
    -0.64
    kun
    -0.63
     ISBN
    -0.61
    ename
    -0.61
    POSITIVE LOGITS
     jury
    1.09
     Jury
    1.00
     jurors
    0.95
    Panel
    0.82
    ĵĺ
    0.80
    naire
    0.77
     verdict
    0.76
     conclud
    0.73
    ãĤ©
    0.73
    Ń·
    0.72
    Activations Density 0.012%

    No Known Activations