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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of large numbers in the context of money or quantity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of large quantities of money, particularly in the context of millions and billions

    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
    anwhile
    -0.83
    ivity
    -0.81
    ivalry
    -0.71
    annel
    -0.70
    ocked
    -0.65
    swick
    -0.65
    anooga
    -0.65
    displayText
    -0.64
    ibaba
    -0.64
    ivism
    -0.63
    POSITIVE LOGITS
    aires
    1.24
    aire
    1.18
     dollars
    1.05
    dollar
    1.00
     dollar
    0.93
     bucks
    0.88
     Dollar
    0.84
     Dollars
    0.81
    naire
    0.81
    fuck
    0.75
    Activations Density 0.065%

    No Known Activations