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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. 18941
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    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
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    No Comments

    Negative Logits
    enegger
    -0.91
    MRI
    -0.74
    ueller
    -0.68
    VIDIA
    -0.66
    ramids
    -0.64
    armac
    -0.63
    jri
    -0.62
    cigarette
    -0.62
    vironments
    -0.62
    liv
    -0.61
    POSITIVE LOGITS
     Dare
    0.76
     Span
    0.69
     Anon
    0.68
     Bye
    0.67
     coh
    0.66
     Wond
    0.64
     Partial
    0.63
     Alt
    0.63
     NP
    0.62
     Born
    0.61
    Activations Density 1.272%

    No Known Activations