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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. 9-RES-JB
    11. 5469
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    terms related to voting, elections, and voting machines

    oai_token-act-pair · gpt-3.5-turbo

    terms related to voting and electoral processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.72
    ofi
    -0.71
    ovie
    -0.69
    peror
    -0.68
    ahime
    -0.67
    ternally
    -0.67
    ghan
    -0.66
    forward
    -0.65
    TIT
    -0.64
    ackle
    -0.64
    POSITIVE LOGITS
     registration
    0.97
     irregularities
    0.97
    eering
    0.96
     turnout
    0.95
     fraud
    0.94
     booths
    0.94
     booth
    0.89
     machines
    0.87
     ballots
    0.87
    ricting
    0.84
    Activations Density 0.078%

    No Known Activations