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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. 7-RES-JB
    11. 3752
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    Explanations

    mentions of political campaigns or teams

    oai_token-act-pair · gpt-3.5-turbo

    references to political campaigns and their associated teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redd
    -0.76
     Cald
    -0.76
     Grade
    -0.73
    é¾įå
    -0.69
     Ada
    -0.69
    REG
    -0.66
    DEP
    -0.66
     Hazard
    -0.66
     Catalonia
    -0.65
    jun
    -0.63
    POSITIVE LOGITS
    hement
    0.90
     spokes
    0.90
     disav
    0.90
     chairman
    0.85
     aides
    0.84
    chair
    0.82
     denies
    0.81
     counsel
    0.77
    remlin
    0.76
     staffers
    0.75
    Activations Density 0.172%

    No Known Activations