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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. 4-RES-JB
    11. 10793
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of registered trademarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    -0.86
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     disse
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    emouth
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    liest
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    iple
    -0.70
    selage
    -0.69
    elo
    -0.69
    iments
    -0.69
    ihad
    -0.68
    POSITIVE LOGITS
    Wide
    0.89
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    0.85
    ©
    0.82
    XY
    0.75
    Safety
    0.75
    Ultra
    0.73
    0000000
    0.72
    Products
    0.72
    Plus
    0.71
    Brand
    0.70
    Activations Density 0.009%

    No Known Activations