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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
    11. 5733
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    Explanations

    words related to sports, specifically athletics and competitions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to athletics and sports

    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
    naire
    -0.79
    hood
    -0.74
    erey
    -0.70
    erd
    -0.69
    Pont
    -0.65
    els
    -0.65
     Kers
    -0.64
    isher
    -0.63
    later
    -0.63
    ning
    -0.62
    POSITIVE LOGITS
     athletics
    0.98
    chwitz
    0.85
    querque
    0.82
     Illustrated
    0.80
    cape
    0.75
    mens
    0.74
     Athletics
    0.73
    peed
    0.73
     enthusi
    0.71
    ¥µ
    0.70
    Activations Density 0.011%

    No Known Activations