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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. 8-RES-JB
    11. 24518
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    Explanations

    specific times and locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific starting times or schedules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     benefited
    -0.75
    supported
    -0.70
    shell
    -0.67
    itivity
    -0.66
    aceutical
    -0.65
    vous
    -0.64
    selves
    -0.64
    tests
    -0.63
    bender
    -0.62
     Loans
    -0.62
    POSITIVE LOGITS
     least
    1.10
     midnight
    1.03
     dusk
    1.00
     noon
    0.99
     halftime
    0.93
     midday
    0.88
     sunset
    0.87
    onement
    0.85
     dawn
    0.81
     sunrise
    0.79
    Activations Density 0.159%

    No Known Activations