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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. 10-RES-JB
    11. 16421
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    Explanations

    Twitter handles and names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or personal mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    raz
    -0.88
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    -0.87
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    -0.79
    889
    -0.79
    Cra
    -0.77
    Az
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    )=(
    -0.76
    POSITIVE LOGITS
     Thomas
    1.91
    Thomas
    1.89
     Thompson
    1.38
    Tom
    1.36
    Thompson
    1.34
    Thom
    1.29
     Tom
    1.28
     Thom
    1.19
     Tommy
    1.17
     Thomson
    1.08
    Activations Density 0.235%

    No Known Activations