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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. 19300
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    Explanations

    references to credits and attributions for images or content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of credit or attribution, particularly in relation to images or sources

    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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    ¦
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    Ĥ
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    dule
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    Ranked
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     rooms
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    POSITIVE LOGITS
     Shutterstock
    0.91
     Authors
    0.82
     Deborah
    0.77
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     DOI
    0.75
     STATS
    0.75
     Springer
    0.75
     Cosponsors
    0.73
     ASC
    0.73
     TBA
    0.73
    Activations Density 0.047%

    No Known Activations