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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. 0-RES-JB
    11. 18035
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    keywords related to titles or headings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of titles and specific named entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igun
    -0.82
    ×Ļ
    -0.70
    _>
    -0.66
    bee
    -0.65
     cemetery
    -0.62
    Pakistan
    -0.62
    voice
    -0.62
    >)
    -0.62
    puff
    -0.61
    yk
    -0.60
    POSITIVE LOGITS
     Tit
    3.47
     Vers
    1.83
     TIT
    1.04
     barg
    1.04
     tread
    0.98
     Barg
    0.95
    TIT
    0.93
    Vers
    0.93
     Sever
    0.90
     Cla
    0.84
    Activations Density 0.019%

    No Known Activations