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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. 21274
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    Explanations

    numerical quantities such as counts or percentages

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify relationships or occurrences involving the number one or its variants

    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
    Cash
    -0.66
    govtrack
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    only
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    estones
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    aries
    -0.64
    alls
    -0.63
    $$$$
    -0.63
    Led
    -0.63
    bryce
    -0.63
    rats
    -0.62
    POSITIVE LOGITS
     dozen
    0.91
    dozen
    0.90
    hetti
    0.68
     viable
    0.65
     hundred
    0.65
     additional
    0.63
     other
    0.63
    undai
    0.63
    izen
    0.62
    ecast
    0.61
    Activations Density 0.094%

    No Known Activations