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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
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    Explanations

    mentions of voters in political contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of voters and voting behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uner
    -0.63
    claimer
    -0.61
    rend
    -0.61
    esc
    -0.61
    rack
    -0.60
     Shack
    -0.60
    imen
    -0.60
     cub
    -0.60
     Mehran
    -0.59
    TAG
    -0.59
    POSITIVE LOGITS
     voters
    3.65
     Voters
    2.98
     voter
    2.21
     electors
    2.10
     ballots
    2.06
     electorate
    2.00
    oters
    1.97
     votes
    1.96
     Voter
    1.79
     voting
    1.75
    Activations Density 0.013%

    No Known Activations