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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    terms related to the Electoral College

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the Electoral College and the electoral process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nered
    -0.87
    ofi
    -0.75
    ital
    -0.72
    ood
    -0.67
    eng
    -0.67
    wart
    -0.65
    Franc
    -0.64
     Shepherd
    -0.63
    develop
    -0.61
    anguages
    -0.61
    POSITIVE LOGITS
     electors
    0.95
     Electoral
    0.88
     Elections
    0.86
     Voter
    0.84
    ratulations
    0.79
     clerk
    0.77
     ancest
    0.76
    regation
    0.76
    ignty
    0.75
    ndum
    0.74
    Activations Density 0.009%

    No Known Activations