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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. 6-RES-JB
    11. 3060
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    Explanations

    questions or interrogations

    oai_token-act-pair · gpt-3.5-turbo

    instances of inquiries or questions posed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.71
    marine
    -0.70
    execute
    -0.68
    Fit
    -0.67
    psc
    -0.67
    endi
    -0.66
    equal
    -0.65
    FC
    -0.63
    rats
    -0.63
    Right
    -0.62
    POSITIVE LOGITS
     rhet
    1.08
     quizz
    0.99
     questions
    0.90
    ioned
    0.90
     Questions
    0.90
     asked
    0.84
     probing
    0.83
     sarcast
    0.82
     Asked
    0.78
     quer
    0.76
    Activations Density 0.015%

    No Known Activations