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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. 1772
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    Explanations

    news-related keywords like "Replay," "Videos," "WATCHED," and "MUST WATCH."

    oai_token-act-pair · gpt-3.5-turbo

    references to video replay or viewing moments

    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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    No Comments

    Negative Logits
     facult
    -0.71
    pora
    -0.71
    doms
    -0.68
    £ı
    -0.66
    Ļ½
    -0.64
     subsistence
    -0.63
    zbek
    -0.63
     plat
    -0.62
    ilk
    -0.61
    loo
    -0.60
    POSITIVE LOGITS
     WATCHED
    0.97
     Replay
    0.89
     Videos
    0.77
     WATCH
    0.76
    Ħ¢
    0.72
    endor
    0.70
     Thumbnails
    0.70
     Video
    0.68
     VIDEO
    0.67
    INGS
    0.66
    Activations Density 0.014%

    No Known Activations