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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
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    Explanations

    names of political figures, specifically governors and senators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of governors and senators

    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
     Germans
    -0.75
    rawdownloadcloneembedreportprint
    -0.73
     airlines
    -0.70
     Mumbai
    -0.70
     Indones
    -0.68
     Ukrainians
    -0.65
     Europeans
    -0.64
     cockpit
    -0.64
     managers
    -0.63
     psychologists
    -0.62
    POSITIVE LOGITS
     Klux
    0.84
    aucuses
    0.84
     Mitch
    0.83
    bernatorial
    0.82
    Mike
    0.82
     Mike
    0.82
     Cory
    0.79
    Ted
    0.78
     Saul
    0.78
    essors
    0.77
    Activations Density 0.105%

    No Known Activations