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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8598
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    INDEX
    Explanations

    phrases related to legal proceedings, particularly mentions of grand juries

    oai_token-act-pair · gpt-3.5-turbo

    references to grand jury proceedings and decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WOR
    -0.79
    cock
    -0.73
    comes
    -0.72
     Mith
    -0.71
    gro
    -0.69
    currency
    -0.68
    byn
    -0.68
    BIT
    -0.67
    owicz
    -0.66
    ibaba
    -0.66
    POSITIVE LOGITS
     convened
    0.99
     subpoen
    0.94
     indicted
    0.92
     commissioners
    0.90
     hearings
    0.87
     subpoena
    0.87
     indictment
    0.87
     jury
    0.84
    naire
    0.82
     indict
    0.79
    Activations Density 0.018%

    No Known Activations