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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
    11. 22542
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    Explanations

    information related to voter turnout

    oai_token-act-pair · gpt-3.5-turbo

    references to voter turnout statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    olog
    -0.77
    ournal
    -0.68
    nered
    -0.66
    onyms
    -0.66
    ergy
    -0.65
    artment
    -0.64
    hal
    -0.64
    sel
    -0.63
    otropic
    -0.63
    hair
    -0.63
    POSITIVE LOGITS
     turnout
    1.11
     votes
    0.74
    eering
    0.73
     rates
    0.69
     rate
    0.68
     polls
    0.68
     ballots
    0.64
     Leave
    0.63
     caucuses
    0.63
    enance
    0.63
    Activations Density 0.008%

    No Known Activations