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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. 10-RES-JB
    11. 7073
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    Explanations

    titles or topics of video clips

    oai_token-act-pair · gpt-3.5-turbo

    replay actions associated with video content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ļ½
    -0.70
    abet
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     icing
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     facult
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    doms
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    £ı
    -0.64
     plat
    -0.63
     subsistence
    -0.62
    zbek
    -0.62
     promul
    -0.60
    POSITIVE LOGITS
     WATCHED
    1.04
     Replay
    1.03
     Videos
    0.75
     WATCH
    0.73
    ached
    0.72
    ique
    0.72
    acher
    0.71
     Video
    0.71
     Thumbnails
    0.71
     More
    0.69
    Activations Density 0.012%

    No Known Activations