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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. 7-RES-JB
    11. 4839
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ONSORED
    -0.89
    mie
    -0.72
    aste
    -0.71
    emaker
    -0.69
    ishment
    -0.69
    ernaut
    -0.67
    ¬¼
    -0.67
    erer
    -0.65
    enance
    -0.64
    ļéĨĴ
    -0.63
    POSITIVE LOGITS
     etc
    1.09
    etc
    0.96
     respectively
    0.90
    poons
    0.86
     including
    0.86
     namely
    0.83
     giveaways
    0.83
     trademarks
    0.82
    Downloadha
    0.81
     suspensions
    0.80
    Activations Density 0.465%

    No Known Activations