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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. 10362
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    Explanations

    the word "main"

    oai_token-act-pair · gpt-3.5-turbo

    references to mainstream media and staff-related terminology

    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
     Dri
    -0.71
     Mode
    -0.70
     Benef
    -0.62
     Hus
    -0.61
     Friendly
    -0.60
     Clubs
    -0.60
     Nightmare
    -0.59
     Club
    -0.59
     featured
    -0.59
     coding
    -0.59
    POSITIVE LOGITS
    main
    2.67
    staff
    1.56
    common
    1.56
    sem
    1.54
    clear
    1.48
    current
    1.48
    should
    1.40
    bread
    1.38
    hello
    1.37
    counter
    1.29
    Activations Density 0.031%

    No Known Activations