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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. 1-RES-JB
    11. 9354
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Semin
    -0.71
    aways
    -0.65
     Oy
    -0.63
     Stock
    -0.61
     Gutenberg
    -0.60
     Occupations
    -0.60
     Addiction
    -0.60
     wallets
    -0.59
     Solitaire
    -0.58
    gow
    -0.58
    POSITIVE LOGITS
    ¢
    1.25
    ¨
    1.02
    ĥ
    1.01
    ¦
    0.98
    ĭ
    0.94
    §
    0.94
    İ
    0.93
    «
    0.93
    ł
    0.89
    º
    0.89
    Activations Density 0.003%

    No Known Activations