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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. 9-RES-JB
    11. 13283
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    Explanations

    dates in the format of month/day/year and associated words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and numerical data related to events or updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essor
    -0.73
    kas
    -0.70
    ä¼
    -0.66
    irit
    -0.64
    enza
    -0.64
    yang
    -0.63
    ilib
    -0.61
    esan
    -0.61
    gger
    -0.61
    ierrez
    -0.61
    POSITIVE LOGITS
    ths
    1.09
    /
    0.90
    mber
    0.78
    th
    0.77
    /_
    0.76
    /,
    0.75
    /"
    0.73
     anniversary
    0.73
    rm
    0.72
    /.
    0.70
    Activations Density 0.064%

    No Known Activations