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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. 10-RES-JB
    11. 17450
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    Explanations

    words related to voters and voting behavior

    oai_token-act-pair · gpt-3.5-turbo

    references to voters and voting-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.84
    ity
    -0.72
    uran
    -0.72
    Else
    -0.71
    ologists
    -0.69
    sa
    -0.69
    ĸļ
    -0.68
     Chef
    -0.67
    cer
    -0.66
    Charge
    -0.65
    POSITIVE LOGITS
     turnout
    1.14
     polled
    0.98
     ballots
    0.95
    ndum
    0.93
     voters
    0.92
     disenfranch
    0.89
     electorate
    0.89
     voting
    0.88
     Voters
    0.88
     voter
    0.88
    Activations Density 0.044%

    No Known Activations