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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. 11-RES-JB
    11. 12836
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    INDEX
    Explanations

    mentions of horror films and related topics

    oai_token-act-pair · gpt-3.5-turbo

    references to horror films and their production details

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    asketball
    -0.94
     Mayweather
    -0.92
    bledon
    -0.92
     Qatar
    -0.87
    NBA
    -0.86
     tennis
    -0.86
    ettel
    -0.86
     Nike
    -0.85
    azeera
    -0.84
    Wallet
    -0.84
    POSITIVE LOGITS
     Lovecraft
    2.03
     Cthulhu
    1.93
     Horror
    1.92
     horror
    1.81
     Creep
    1.69
     Haunted
    1.68
     haunted
    1.67
     Halloween
    1.63
     Dracula
    1.62
     creepy
    1.62
    Activations Density 0.607%

    No Known Activations