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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. 1801
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    Explanations

    terms related to forces, including electromagnetic, magnetic, gravitational, cohesive, and mechanical forces

    oai_token-act-pair · gpt-3.5-turbo

    terms related to physical forces and their interactions

    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
     Homeless
    -0.83
    pkg
    -0.80
     McCann
    -0.76
     DACA
    -0.73
     Shame
    -0.73
     Campus
    -0.73
    anie
    -0.72
     Childhood
    -0.71
    cot
    -0.70
     Schne
    -0.70
    POSITIVE LOGITS
     exerted
    1.21
     currents
    1.07
     gradient
    1.06
     vibrations
    1.06
     coefficient
    1.02
     vibration
    1.00
     piston
    0.99
     exert
    0.98
     friction
    0.97
     fracturing
    0.94
    Activations Density 0.200%

    No Known Activations