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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. 8-RES-JB
    11. 11344
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific character sequences or typographical errors related to special characters in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     fertility
    -0.65
     mileage
    -0.65
     Scorp
    -0.62
     sickness
    -0.61
     marrow
    -0.60
     Touch
    -0.60
     substance
    -0.60
     benefic
    -0.59
     gestation
    -0.59
    hands
    -0.58
    POSITIVE LOGITS
    ão
    1.36
    onne
    0.99
    İ
    0.97
    ã
    0.97
    ¬
    0.96
    ç
    0.91
    ĩ
    0.91
    uration
    0.90
    ados
    0.90
    arta
    0.89
    Activations Density 0.019%

    No Known Activations