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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. 18105
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    Explanations

    words related to importance or prominence

    oai_token-act-pair · gpt-3.5-turbo

    repetition of the word "main" to identify key elements or focuses in various contexts

    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
    lessness
    -0.78
    lessly
    -0.73
    icum
    -0.71
    uc
    -0.69
    won
    -0.68
    aea
    -0.68
    manship
    -0.68
    sharing
    -0.66
    erity
    -0.63
     Thou
    -0.61
    POSITIVE LOGITS
     main
    3.34
    main
    2.09
     Main
    1.98
    Main
    1.92
     primary
    1.61
     biggest
    1.52
     principal
    1.46
     major
    1.29
     central
    1.29
     core
    1.27
    Activations Density 0.020%

    No Known Activations