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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. 0-RES-JB
    11. 11610
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to videos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     colon
    -0.67
     opening
    -0.66
     peg
    -0.65
     thinking
    -0.64
     conce
    -0.64
     flush
    -0.62
     ind
    -0.62
     grace
    -0.61
     lease
    -0.61
     halfway
    -0.61
    POSITIVE LOGITS
     Videos
    4.14
     videos
    1.96
     VIDEOS
    1.90
     Video
    1.84
    videos
    1.84
    ideos
    1.60
    Video
    1.60
     VIDEO
    1.51
    video
    1.49
     Photos
    1.49
    Activations Density 0.012%

    No Known Activations