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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. 7-RES-JB
    11. 21606
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    Explanations

    keywords related to weather and weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to weather-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otomy
    -0.75
    iasis
    -0.73
    emetery
    -0.71
    Ô
    -0.71
    ethe
    -0.68
    irlf
    -0.68
    ovo
    -0.68
     Cly
    -0.68
    incerity
    -0.67
    onyms
    -0.67
    POSITIVE LOGITS
     conditions
    1.00
     forecast
    0.99
     extremes
    0.96
     Conditions
    0.95
     forecasts
    0.91
     forecasting
    0.91
     turbulence
    0.90
     fluctuations
    0.88
    drops
    0.87
     climates
    0.85
    Activations Density 0.026%

    No Known Activations