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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. 3-RES-JB
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    Explanations

    words related to winning or excellence

    oai_token-act-pair · gpt-3.5-turbo

    the term "champion" in various contexts related to success and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uld
    -0.87
    kefeller
    -0.85
    eret
    -0.81
    gettable
    -0.73
    emetery
    -0.73
    ftime
    -0.72
    iday
    -0.71
    ADRA
    -0.71
    ifax
    -0.71
    duino
    -0.70
    POSITIVE LOGITS
     champion
    0.89
     Champion
    0.82
     champions
    0.82
    hip
    0.76
     boxer
    0.74
    boards
    0.73
     laureate
    0.73
     challenger
    0.72
     Chall
    0.71
    hips
    0.69
    Activations Density 0.008%

    No Known Activations