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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19629
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    Explanations

    words related to magnetic fields and forces

    oai_token-act-pair · gpt-3.5-turbo

    references to magnetic fields and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Homeless
    -0.77
     Hispanic
    -0.75
     McCann
    -0.73
    pkg
    -0.70
     Elm
    -0.69
     Nicarag
    -0.68
     Latino
    -0.67
     Faces
    -0.67
     Cinnamon
    -0.67
     DACA
    -0.66
    POSITIVE LOGITS
     exerted
    1.08
     coefficient
    1.07
     currents
    1.02
     vibrations
    1.00
     induced
    0.91
     vibration
    0.91
     amplitude
    0.90
     resonance
    0.90
     coefficients
    0.89
     fluctuations
    0.89
    Activations Density 0.187%

    No Known Activations