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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. 17179
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical or quantitative performance metrics

    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
    Introduced
    -0.78
    icity
    -0.73
     invention
    -0.72
    20439
    -0.72
     Ibid
    -0.68
     embodiment
    -0.66
     applic
    -0.64
     closure
    -0.63
    ochemical
    -0.62
    microsoft
    -0.62
    POSITIVE LOGITS
     waivers
    0.87
     teammates
    0.85
     teammate
    0.82
    whelming
    0.80
     Julio
    0.79
     rookie
    0.78
     defenders
    0.77
    whel
    0.76
     halftime
    0.75
     turnovers
    0.75
    Activations Density 0.125%

    No Known Activations