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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. 11-RES-JB
    11. 17276
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    Explanations

    JavaScript code snippets containing specific functions or statements

    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cker
    -0.79
    ingen
    -0.79
    anu
    -0.75
    gger
    -0.73
    geist
    -0.70
    aston
    -0.70
    tons
    -0.68
    cham
    -0.67
    assic
    -0.66
    hood
    -0.66
    POSITIVE LOGITS
     ..........
    1.10
     FILE
    0.69
    olulu
    0.68
    ¯¯¯¯¯¯¯¯
    0.68
     Territories
    0.68
    IO
    0.67
    UES
    0.67
     Hawai
    0.67
     Fla
    0.66
     Utilities
    0.66
    Activations Density 0.013%

    No Known Activations