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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. 772
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    Explanations

    recommendations to watch specific videos

    oai_token-act-pair · gpt-3.5-turbo

    references to video content and replay actions

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     facult
    -0.66
    eur
    -0.66
    sth
    -0.65
     icing
    -0.62
     revolving
    -0.61
    regon
    -0.59
    ournal
    -0.59
    bara
    -0.58
     vib
    -0.58
     shorth
    -0.57
    POSITIVE LOGITS
     WATCHED
    0.92
     Replay
    0.85
     Related
    0.82
     More
    0.79
    %]
    0.69
     Likes
    0.67
    interstitial
    0.66
     Coverage
    0.64
    Related
    0.63
     Thumbnails
    0.63
    Activations Density 0.021%

    No Known Activations