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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. 10-RES-JB
    11. 21509
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    Explanations

    numeric representations of dates and times

    oai_token-act-pair · gpt-3.5-turbo

    numerical references indicating counts, dates, or scores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -0.69
    ificial
    -0.68
    olas
    -0.66
    icularly
    -0.64
    ial
    -0.63
    arial
    -0.61
    orically
    -0.60
    ophical
    -0.60
    utory
    -0.58
    itimate
    -0.57
    POSITIVE LOGITS
    ÃĹ
    0.94
    010
    0.93
    800
    0.92
    88
    0.89
    200
    0.89
    RD
    0.88
    °
    0.88
    555
    0.87
    nd
    0.87
    266
    0.87
    Activations Density 0.127%

    No Known Activations