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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. 8-RES-JB
    11. 14245
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    Explanations

    references to sports terminology, specifically related to playing on ice or field

    oai_token-act-pair · gpt-3.5-turbo

    references to sports-related terms, particularly focusing on ice and field sports

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    sonian
    -0.73
    itarian
    -0.71
    achus
    -0.71
    oras
    -0.69
     warr
    -0.68
     Soros
    -0.66
     Berk
    -0.66
     Bin
    -0.65
    IRD
    -0.65
    ortium
    -0.64
    POSITIVE LOGITS
    keeper
    0.99
    keepers
    0.88
    plays
    0.86
     scoreboard
    0.83
     coach
    0.79
    Coach
    0.77
    keeping
    0.77
     sidelines
    0.77
    strength
    0.76
    waves
    0.72
    Activations Density 0.102%

    No Known Activations