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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. 8-RES-JB
    11. 12876
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    INDEX
    Explanations

    mentions of sports teams or athletes

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and their mascots

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    lements
    -0.71
    judicial
    -0.66
    quickShipAvailable
    -0.66
     increments
    -0.63
     intervals
    -0.62
    ¿½
    -0.60
     embodiments
    -0.60
    tains
    -0.60
    reddits
    -0.60
     tones
    -0.59
    POSITIVE LOGITS
    '
    1.20
    heet
    1.07
     mascot
    1.03
    hirt
    0.94
    boro
    0.93
     Athletic
    0.89
    hift
    0.84
    liga
    0.84
    peed
    0.84
    mith
    0.84
    Activations Density 0.097%

    No Known Activations