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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. 6-RES-JB
    11. 24461
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    Explanations

    mentions of gender differences with a focus on male and female characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to gender and the comparative characteristics of males and females

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lich
    -0.80
    OLOG
    -0.72
    Journal
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    thumbnails
    -0.69
    politics
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    Chest
    -0.69
    RECT
    -0.68
    JECT
    -0.65
     Airl
    -0.65
    OWN
    -0.64
    POSITIVE LOGITS
    cius
    0.95
    paces
    0.87
    cale
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    terday
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    '
    0.79
    ktop
    0.79
    ignty
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    avers
    0.78
    Activations Density 0.026%

    No Known Activations