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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. 10-RES-JB
    11. 8368
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    INDEX
    Explanations

    financial terms related to earnings and statements

    oai_token-act-pair · gpt-3.5-turbo

    financial performance metrics, particularly earnings and revenues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bureaucr
    -0.81
     bureaucrats
    -0.81
    minster
    -0.79
    minist
    -0.78
    sonian
    -0.78
     Babe
    -0.77
     theorists
    -0.73
     dictators
    -0.71
     electors
    -0.69
     liberals
    -0.69
    POSITIVE LOGITS
     earnings
    1.33
     EPS
    1.17
     revenue
    1.08
     Adjusted
    1.06
     revenues
    1.05
     gross
    1.03
     dividend
    1.03
     Revenue
    1.02
    gross
    1.02
     dividends
    1.01
    Activations Density 0.384%

    No Known Activations