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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. 2901
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    Explanations

    references to political figures or elections, specifically focusing on Clinton and Trump

    oai_token-act-pair · gpt-3.5-turbo

    mentions of political candidates and their electoral outcomes

    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
    adobe
    -0.73
     Loft
    -0.64
     Brach
    -0.62
     Alz
    -0.62
     Git
    -0.61
     Nets
    -0.61
     Minotaur
    -0.59
     Conan
    -0.58
     ISPs
    -0.58
    ĸļ
    -0.58
    POSITIVE LOGITS
     candidacy
    1.24
     challenger
    0.98
     candidate
    0.97
     nomination
    0.96
     voters
    0.94
     nominees
    0.93
     polls
    0.91
     nominee
    0.90
    cand
    0.89
     supporters
    0.89
    Activations Density 0.179%

    No Known Activations