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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. 23261
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    Explanations

    references to budget-related matters

    oai_token-act-pair · gpt-3.5-turbo

    references to financial planning and allocations

    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
    atta
    -0.80
     marker
    -0.77
    actory
    -0.73
    jar
    -0.66
     Place
    -0.63
    tic
    -0.63
     symbol
    -0.62
    rait
    -0.61
    avor
    -0.61
     marked
    -0.61
    POSITIVE LOGITS
     budgets
    3.85
     budget
    1.75
    budget
    1.64
     portfolios
    1.58
     agendas
    1.53
     budgetary
    1.52
     incomes
    1.50
    udget
    1.49
     finances
    1.48
     schedules
    1.44
    Activations Density 0.015%

    No Known Activations