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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
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    references to large quantities of money

    oai_token-act-pair · gpt-3.5-turbo

    references to large sums of money, specifically in billions or millions

    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
    imen
    -0.74
    mentioned
    -0.70
    ãĥ¤
    -0.68
     Armory
    -0.63
    Delivery
    -0.63
     shortest
    -0.61
    rade
    -0.61
    iban
    -0.59
    arth
    -0.58
     Conquer
    -0.57
    POSITIVE LOGITS
    aires
    0.94
     dollars
    0.94
    aire
    0.93
     ILCS
    0.89
    dollar
    0.86
    undo
    0.80
     amounts
    0.79
     Millions
    0.79
     dollar
    0.76
    bucks
    0.75
    Activations Density 0.037%

    No Known Activations