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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. 12-RES-JB
    11. 4969
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    Explanations

    information related to sports, particularly football

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to sports statistics and performance evaluation

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     eleph
    -1.82
    Þ
    -1.40
     redes
    -1.39
     metic
    -1.37
     subur
    -1.37
     exting
    -1.32
     citiz
    -1.32
     neighb
    -1.30
     proport
    -1.28
     earthqu
    -1.27
    POSITIVE LOGITS
    Coach
    1.85
    ESPN
    1.75
    Thumbnail
    1.73
    Players
    1.71
    Defense
    1.67
    NFL
    1.65
    Draft
    1.65
    Grade
    1.62
    Minnesota
    1.61
    QB
    1.61
    Activations Density 0.234%

    No Known Activations