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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. 9064
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    Explanations

    political election-related phrases, especially ones indicating support or comparison between candidates

    oai_token-act-pair · gpt-3.5-turbo

    key statistics and metrics related to election outcomes and public opinion

    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
    obyl
    -1.13
    anguage
    -0.74
    ItemTracker
    -0.72
     Anthrop
    -0.71
    atche
    -0.70
    REDACTED
    -0.68
    £ı
    -0.68
    assetsadobe
    -0.67
     ATF
    -0.67
    wordpress
    -0.67
    POSITIVE LOGITS
     win
    1.47
     challenger
    1.45
     underdog
    1.44
     victory
    1.42
     winning
    1.39
     wins
    1.36
     vict
    1.33
     frontrunner
    1.29
     challengers
    1.28
     winner
    1.27
    Activations Density 1.668%

    No Known Activations