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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. 4-RES-JB
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    Explanations

    words related to voting and electoral processes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ballots and related voting terminology

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

    Negative Logits
     Kut
    -0.75
    hered
    -0.71
    PLIED
    -0.69
     tremend
    -0.68
    rir
    -0.67
    iosis
    -0.67
    thur
    -0.66
    bye
    -0.66
    elsen
    -0.65
    auga
    -0.65
    POSITIVE LOGITS
     ballots
    0.95
    zeb
    0.85
     canv
    0.85
    ination
    0.82
     Compass
    0.79
    boxes
    0.78
     ballot
    0.78
    otle
    0.76
    ndum
    0.76
     votes
    0.72
    Activations Density 0.015%

    No Known Activations