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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. 9-RES-JB
    11. 4923
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    Explanations

    numerical quantities, such as numbers

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable counts or numerical values associated with various entities or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.78
    growth
    -0.72
    recy
    -0.70
    risk
    -0.70
    !--
    -0.69
    Analysis
    -0.69
    analysis
    -0.68
    advertising
    -0.68
    shape
    -0.67
    especially
    -0.66
    POSITIVE LOGITS
     vacancies
    0.99
     slots
    0.92
     followers
    0.89
     bedrooms
    0.89
     days
    0.89
     fewer
    0.86
     helpers
    0.86
     layers
    0.86
     legs
    0.85
     options
    0.85
    Activations Density 0.156%

    No Known Activations