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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. 16400
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    Explanations

    mentions of American football rookies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rookie athletes

    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
    hran
    -0.80
    anus
    -0.78
    metic
    -0.76
    ioned
    -0.74
    rams
    -0.74
    rary
    -0.72
    arf
    -0.72
    anism
    -0.72
    fact
    -0.72
    anski
    -0.71
    POSITIVE LOGITS
     QB
    0.86
     signings
    0.83
     quarterbacks
    0.81
     quarterback
    0.81
     drafts
    0.78
     goaltender
    0.77
     defenseman
    0.77
     kicker
    0.75
     goalie
    0.74
     outfielder
    0.72
    Activations Density 0.037%

    No Known Activations