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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. 10-RES-JB
    11. 16507
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    INDEX
    Explanations

    words related to sports leagues, such as team names, league structures, and league activities

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports league

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.78
    imaru
    -0.76
    achus
    -0.76
    anamo
    -0.74
    ledged
    -0.70
    imura
    -0.68
    essage
    -0.68
    «
    -0.68
    =-=-
    -0.66
    dos
    -0.66
    POSITIVE LOGITS
     commissioner
    0.74
     Scouting
    0.74
     MVP
    0.74
    Players
    0.73
     championships
    0.72
     chang
    0.72
    wide
    0.71
     playoffs
    0.71
    oster
    0.71
     Players
    0.68
    Activations Density 0.032%

    No Known Activations