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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. 3976
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    Explanations

    references to committees or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to committees in various 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
    GET
    -0.78
    resp
    -0.77
    Pear
    -0.72
    laus
    -0.69
    JSON
    -0.66
     fasc
    -0.66
    ku
    -0.64
    imm
    -0.64
    TRUMP
    -0.63
     Nieto
    -0.62
    POSITIVE LOGITS
     Committee
    1.29
    ittee
    1.28
     committees
    1.09
     committee
    1.09
     Committees
    0.98
    ittees
    0.95
     subcommittee
    0.93
     Hearing
    0.89
     Subcommittee
    0.84
     Inquiry
    0.83
    Activations Density 0.016%

    No Known Activations