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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. 13874
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    Explanations

    references to arms in the context of international trade, military conflict, and security issues

    oai_token-act-pair · gpt-3.5-turbo

    references to arms and armament

    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
     Strawberry
    -0.70
     Woodward
    -0.67
    Adams
    -0.67
     Kern
    -0.66
    gres
    -0.65
     Doodle
    -0.65
     Oy
    -0.64
     Archdemon
    -0.63
     Dough
    -0.63
    WN
    -0.63
    POSITIVE LOGITS
    manship
    1.09
    mith
    0.99
     shipments
    0.98
     caches
    0.92
     traff
    0.88
     trafficking
    0.88
     manufacturers
    0.87
     traffickers
    0.85
     smugglers
    0.84
    chwitz
    0.83
    Activations Density 0.045%

    No Known Activations