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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. 9-RES-JB
    11. 19663
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    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     footing
    -0.73
     nailed
    -0.68
     urge
    -0.66
     seniors
    -0.65
     assurance
    -0.64
     grid
    -0.64
     hang
    -0.62
     hed
    -0.62
    rame
    -0.61
     casc
    -0.61
    POSITIVE LOGITS
    Appearances
    1.37
    Trivia
    1.21
    References
    1.20
    History
    1.19
    Notable
    1.19
    Contents
    1.15
    Gallery
    1.14
    Appearance
    1.11
    Gameplay
    1.04
    Quotes
    1.02
    Activations Density 0.125%

    No Known Activations