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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. 6-RES-JB
    11. 12278
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to media sources or agency names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     disgu
    -0.75
     craw
    -0.72
     infiltr
    -0.71
     creep
    -0.70
     accus
    -0.70
     beetles
    -0.69
     sooner
    -0.67
     creeps
    -0.67
     worms
    -0.67
     crawl
    -0.66
    POSITIVE LOGITS
    Getty
    1.07
    etc
    1.04
    ËĪ
    1.01
    Flickr
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    0.96
    Math
    0.95
    CI
    0.94
    CIA
    0.94
    CN
    0.92
    Kin
    0.89
    Activations Density 0.055%

    No Known Activations