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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. 9-RES-JB
    11. 3062
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    Explanations

    words related to sports leagues and competitions, especially the Premier League

    oai_token-act-pair · gpt-3.5-turbo

    references to sports leagues and tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ravings
    -0.73
    inyl
    -0.66
    othing
    -0.65
     Yorkers
    -0.65
    links
    -0.64
    access
    -0.63
    paio
    -0.62
    nect
    -0.62
    illin
    -0.62
    pread
    -0.62
    POSITIVE LOGITS
     semifinals
    0.95
     realm
    0.95
     playoffs
    0.93
     arena
    0.90
     era
    0.89
     Playoffs
    0.88
     Finals
    0.86
     standings
    0.85
     shootout
    0.83
     category
    0.83
    Activations Density 0.317%

    No Known Activations