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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. 10963
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    Explanations

    references to various types of martial arts

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of martial arts and related terms

    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
    pard
    -0.75
     Frey
    -0.75
     Citizens
    -0.73
     WARN
    -0.72
    iband
    -0.71
     Flood
    -0.70
     VW
    -0.70
     macOS
    -0.70
     Fay
    -0.69
     ABV
    -0.69
    POSITIVE LOGITS
     practitioners
    0.99
     chops
    0.98
     instructor
    0.96
    Fighting
    0.95
     practitioner
    0.95
     wrestling
    0.91
     boxing
    0.91
     masters
    0.90
     arts
    0.89
     academy
    0.88
    Activations Density 0.090%

    No Known Activations