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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. 13868
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    Explanations

    references to images or visual content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of images and related content

    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
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    Negative Logits
     reservation
    -0.73
     swing
    -0.72
    sen
    -0.70
     coal
    -0.70
     business
    -0.67
     annual
    -0.66
     starter
    -0.66
     affirmative
    -0.66
     franchise
    -0.66
     net
    -0.66
    POSITIVE LOGITS
    Images
    4.16
    images
    1.92
     Images
    1.90
     IMAGES
    1.73
    Pict
    1.61
    pict
    1.48
    Photos
    1.47
     images
    1.37
    uploads
    1.36
    Image
    1.36
    Activations Density 0.020%

    No Known Activations