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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. 2725
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    INDEX
    Explanations

    words related to voting, voter registration, voter turnout, voter satisfaction, voter disenfranchisement, voter suppression, and voter fraud

    oai_token-act-pair · gpt-3.5-turbo

    references to voting, voter-related issues, and voter identity

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uits
    -0.89
    hirt
    -0.80
    hops
    -0.79
    creen
    -0.77
    paces
    -0.77
    pots
    -0.75
    unda
    -0.75
    orem
    -0.72
    mith
    -0.71
    term
    -0.68
    POSITIVE LOGITS
     satisfaction
    1.21
    hood
    1.08
     empowerment
    1.06
     engagement
    1.05
     testim
    0.97
     safety
    0.95
     protection
    0.95
     dissatisfaction
    0.94
     turnout
    0.92
     retention
    0.90
    Activations Density 0.134%

    No Known Activations