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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. 17378
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    Explanations

    phrases related to physical attributes or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to physical attributes, conditions, and quantitative data

    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
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    Negative Logits
     Canaver
    -0.71
    ossier
    -0.66
    iasco
    -0.56
     mascot
    -0.54
    uscript
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    unker
    -0.52
    onnaissance
    -0.51
    asher
    -0.50
    aghetti
    -0.50
    undrum
    -0.50
    POSITIVE LOGITS
    +.
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    !.
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    $.
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    ().
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     versa
    0.79
    %.
    0.78
    *.
    0.77
    .(
    0.75
    !".
    0.74
    .</
    0.73
    Activations Density 0.743%

    No Known Activations