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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. 2-RES-JB
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    terms related to specific forms of martial arts

    oai_token-act-pair · gpt-3.5-turbo

    references to martial arts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     McDonnell
    -0.73
    vironment
    -0.71
     Citizens
    -0.68
     Schwe
    -0.68
    isle
    -0.67
     Borders
    -0.66
     Dull
    -0.66
    pard
    -0.65
     Olsen
    -0.65
     Perkins
    -0.64
    POSITIVE LOGITS
    Fighting
    1.00
     boxing
    0.95
     wrestling
    0.94
    restling
    0.93
     Boxing
    0.91
    itsu
    0.90
    Fight
    0.87
     martial
    0.85
     wrestlers
    0.85
    fighting
    0.82
    Activations Density 0.073%

    No Known Activations