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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
    11. 14299
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    Explanations

    questions posed to someone in an interview or press conference

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Asked" indicating questions or inquiries made by reporters

    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
    equal
    -0.75
    execute
    -0.73
    EStreamFrame
    -0.68
    Fit
    -0.67
    psc
    -0.66
    cum
    -0.64
    âĶ
    -0.64
    Î
    -0.64
    xon
    -0.63
     Scotia
    -0.63
    POSITIVE LOGITS
     rhet
    1.19
     questions
    1.03
     Questions
    1.00
     quizz
    1.00
    ioned
    0.99
     asked
    0.94
     probing
    0.87
     Asked
    0.85
     moderator
    0.84
     questioned
    0.83
    Activations Density 0.023%

    No Known Activations