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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. 1-RES-JB
    11. 5342
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    Explanations

    references to financial revenues and economic impacts

    oai_token-act-pair · gpt-3.5-turbo

    references to financial revenues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ones
    -0.71
    gru
    -0.67
    empl
    -0.66
     Hazard
    -0.66
    cond
    -0.65
     Bren
    -0.65
    og
    -0.63
     Ryder
    -0.63
    opol
    -0.62
    empt
    -0.62
    POSITIVE LOGITS
     revenues
    1.44
     revenue
    1.17
     receipts
    1.04
     royalties
    0.96
    interstitial
    0.95
     Revenue
    0.92
     profits
    0.88
     monet
    0.87
     earnings
    0.83
     expenditure
    0.83
    Activations Density 0.005%

    No Known Activations