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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. 0-RES-JB
    11. 12400
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    INDEX
    Explanations

    references to revenue generation and financial terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of financial income or revenue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aces
    -0.75
    mares
    -0.70
    aunts
    -0.69
     Nurs
    -0.68
    alk
    -0.67
     Hug
    -0.67
    acid
    -0.66
    osen
    -0.66
    ind
    -0.63
     Hipp
    -0.63
    POSITIVE LOGITS
     revenue
    3.49
     revenues
    2.99
     Revenue
    2.42
    venue
    1.75
     income
    1.68
     receipts
    1.67
     profits
    1.67
     profit
    1.60
     profitability
    1.60
     royalties
    1.58
    Activations Density 0.021%

    No Known Activations