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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. 4-RES-JB
    11. 6282
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    Explanations

    references to different forces in physics, specifically electromagnetism and gravity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to magnetic and gravitational forces

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

    No Comments

    Negative Logits
     Hispanic
    -0.83
     Latino
    -0.80
     DACA
    -0.74
     Cron
    -0.72
     Guatem
    -0.72
     Canaan
    -0.71
     Trident
    -0.70
     Tradable
    -0.70
     Homeless
    -0.69
     Cinnamon
    -0.69
    POSITIVE LOGITS
     coefficient
    1.15
     propagation
    1.01
    pressure
    0.99
     coefficients
    0.99
     currents
    0.97
     induced
    0.95
    riction
    0.94
     vibrations
    0.93
     exerted
    0.93
     gradient
    0.92
    Activations Density 0.202%

    No Known Activations