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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. 11-RES-JB
    11. 1643
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    Explanations

    references to mixed martial arts (MMA) fighters and related statistical data

    oai_token-act-pair · gpt-3.5-turbo

    references to specific combat sports, particularly MMA events and related statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    worldly
    -0.65
    [/
    -0.64
    agic
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    lessly
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    pieces
    -0.62
    lessness
    -0.61
    ,
    -0.61
    ost
    -0.61
    ally
    -0.61
    phia
    -0.60
    POSITIVE LOGITS
     356
    0.76
     701
    0.76
     1700
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     161
    0.75
     118
    0.75
     354
    0.75
     206
    0.75
     339
    0.74
     353
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     157
    0.74
    Activations Density 0.108%

    No Known Activations