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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
    11. 23087
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    Explanations

    text related to legal terminology, specifically clauses within legal documents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of legal clauses or references within a legal context

    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
    erer
    -0.73
    lar
    -0.71
    ritz
    -0.71
    olitan
    -0.67
    PI
    -0.67
    story
    -0.66
    Pie
    -0.65
     Monetary
    -0.65
    elf
    -0.65
    eryl
    -0.65
    POSITIVE LOGITS
    witz
    1.45
     clauses
    1.17
     clause
    1.02
     Clause
    0.87
    iton
    0.81
     warr
    0.80
     clinch
    0.78
    terday
    0.74
     defe
    0.74
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
    Activations Density 0.009%

    No Known Activations