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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. 8-RES-JB
    11. 16773
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    Explanations

    numbers and references to articles or sections within long documents

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tions
    -0.75
     Telecommunications
    -0.73
     spawns
    -0.67
     Utilities
    -0.65
     respawn
    -0.64
     shelters
    -0.62
     checks
    -0.59
     computers
    -0.59
     interceptions
    -0.58
     controllers
    -0.58
    POSITIVE LOGITS
    dp
    0.93
    html
    0.71
    aspx
    0.69
    story
    0.68
    LOG
    0.68
    msg
    0.67
    775
    0.67
    ItemThumbnailImage
    0.66
    ãĤ¦ãĤ¹
    0.66
    utm
    0.66
    Activations Density 0.060%

    No Known Activations