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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. 6-RES-JB
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    Explanations

    references to large amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    references to large sums of money, specifically in the context of billions and millions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imen
    -0.79
    anooga
    -0.73
    mentioned
    -0.71
    ãĥ¤
    -0.68
    iban
    -0.63
     Armory
    -0.62
    Delivery
    -0.61
    LV
    -0.59
     shortest
    -0.59
     moderator
    -0.59
    POSITIVE LOGITS
     dollars
    0.93
    aire
    0.91
    aires
    0.89
     ILCS
    0.87
     Millions
    0.82
    dollar
    0.81
     billions
    0.81
    ujah
    0.80
     litres
    0.78
     amounts
    0.78
    Activations Density 0.031%

    No Known Activations