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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. 20832
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    Explanations

    details about sports games, matches, or events

    oai_token-act-pair · gpt-3.5-turbo

    events or actions related to sports schedules and game activities

    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
     typo
    -0.71
     Journals
    -0.69
    enment
    -0.68
     miscar
    -0.65
    growth
    -0.64
    ascript
    -0.63
    rity
    -0.63
    ndra
    -0.62
     memos
    -0.61
     workflow
    -0.61
    POSITIVE LOGITS
     rematch
    1.06
     matchup
    1.05
     tomorrow
    1.02
     kickoff
    0.94
     preseason
    0.93
    Match
    0.92
    Saturday
    0.91
    Tickets
    0.90
     Saturday
    0.89
     undefeated
    0.86
    Activations Density 0.398%

    No Known Activations