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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. 10-RES-JB
    11. 18691
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    Explanations

    phrases indicating permission or encouragement to proceed with an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progression or taking action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¥µ
    -0.67
    brid
    -0.66
    ingham
    -0.66
    asio
    -0.65
    ELD
    -0.63
    igi
    -0.62
    GAME
    -0.62
    NET
    -0.62
    rador
    -0.61
     Comput
    -0.61
    POSITIVE LOGITS
    nesses
    0.75
    eous
    0.73
     unnoticed
    0.73
    lems
    0.69
     undet
    0.68
     anyway
    0.67
    acht
    0.62
    estyles
    0.62
    nah
    0.61
    abouts
    0.61
    Activations Density 0.030%

    No Known Activations