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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. 12497
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    INDEX
    Explanations

    phrases related to financial expenditure or budgeting

    oai_token-act-pair · gpt-3.5-turbo

    references to budgetary spending

    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
    ced
    -0.72
     iss
    -0.67
    tical
    -0.66
    zer
    -0.64
    editor
    -0.64
    iop
    -0.63
     Knock
    -0.62
     Changed
    -0.62
     Variant
    -0.62
    actory
    -0.62
    POSITIVE LOGITS
     spending
    3.56
     Spending
    2.84
     spend
    2.12
     expenditures
    2.10
     expenditure
    2.07
     spends
    1.79
     Spend
    1.72
     borrowing
    1.67
     budgets
    1.63
     investing
    1.49
    Activations Density 0.026%

    No Known Activations