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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18025
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    statistical data related to sports performance, specifically baseball pitching statistics

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to sports performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    DragonMagazine
    -0.88
    netflix
    -0.80
    tails
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     MFT
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    zhou
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     Starship
    -0.70
    microsoft
    -0.70
    sym
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    Priv
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    POSITIVE LOGITS
    vertisement
    0.95
    ERA
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     ERA
    0.75
     Klu
    0.74
     hitters
    0.72
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    0.72
     outfielder
    0.72
    enhagen
    0.71
     pitcher
    0.71
     defender
    0.70
    Activations Density 0.368%

    No Known Activations