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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. 7-RES-JB
    11. 332
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    INDEX
    Explanations

    calls to action for engagement with content or information

    oai_token-act-pair · gpt-3.5-turbo

    calls to action or prompts for engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minist
    -0.70
    )",
    -0.68
     ().
    -0.64
     \"
    -0.60
     UD
    -0.60
     respectively
    -0.59
     mono
    -0.59
     laying
    -0.59
    handedly
    -0.57
    `.
    -0.56
    POSITIVE LOGITS
    resa
    0.96
    notations
    0.85
     WATCHED
    0.84
     Fixes
    0.77
    xon
    0.77
     Recap
    0.77
    Alert
    0.77
    lahoma
    0.76
     Updated
    0.76
     Update
    0.76
    Activations Density 0.275%

    No Known Activations