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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. 4959
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    INDEX
    Explanations

    phrases related to sports events and team activities

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

    references to preseason activities or events in sports

    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
     Farage
    -0.72
     outnumbered
    -0.72
     simulac
    -0.71
     Zed
    -0.70
     reproduction
    -0.68
     TED
    -0.68
     Swanson
    -0.67
     cod
    -0.67
     Hanson
    -0.67
     Cth
    -0.66
    POSITIVE LOGITS
    season
    1.87
    conference
    1.42
    Season
    1.40
    league
    1.37
    draft
    1.31
    holiday
    1.27
    practice
    1.24
    game
    1.23
    finals
    1.22
    play
    1.21
    Activations Density 0.089%

    No Known Activations