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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. 3-RES-JB
    11. 23133
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    links to YouTube videos

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "youtube"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ballard
    -0.81
     Dull
    -0.80
     Daly
    -0.75
     Jub
    -0.72
     Pats
    -0.72
     Greenberg
    -0.71
     Boo
    -0.70
     Ãľ
    -0.70
    thin
    -0.68
     Virgin
    -0.68
    POSITIVE LOGITS
    youtube
    1.23
    youtu
    1.02
     youtube
    1.00
    plays
    0.87
    uploads
    0.86
     Seen
    0.78
    ogi
    0.77
     PHOTO
    0.75
    watch
    0.74
    iframe
    0.74
    Activations Density 0.004%

    No Known Activations