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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10557
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    Explanations

    sports team names

    oai_token-act-pair · gpt-3.5-turbo

    names of sports teams or mascots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    judicial
    -0.82
    osponsors
    -0.81
    lements
    -0.76
    ographies
    -0.73
    abases
    -0.71
    mining
    -0.70
    acts
    -0.68
    lying
    -0.65
    iaries
    -0.65
    cells
    -0.65
    POSITIVE LOGITS
     Athletic
    0.95
    hift
    0.94
    '
    0.87
    hirt
    0.86
     Athletics
    0.86
     Jagu
    0.83
    bane
    0.79
     athletics
    0.78
     Esports
    0.77
    heet
    0.77
    Activations Density 0.089%

    No Known Activations