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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17964
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    INDEX
    Explanations

    terms related to sports, specifically focusing on soccer and hockey

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring and goals in sports, particularly hockey

    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
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.76
     Bachelor
    -0.69
     Riders
    -0.68
     Solitaire
    -0.67
    --------------------------------------------------------
    -0.63
    orld
    -0.63
    Operation
    -0.62
     bachelor
    -0.61
     Exodus
    -0.61
    GREEN
    -0.61
    POSITIVE LOGITS
    keepers
    1.26
    keeping
    1.23
    mouth
    1.19
    core
    1.11
    keeper
    1.10
    stre
    1.01
     scorer
    0.99
    posts
    0.94
    scoring
    0.93
     scored
    0.92
    Activations Density 0.059%

    No Known Activations