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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. 3-RES-JB
    11. 11218
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.02
    20439
    -0.94
    enegger
    -0.86
     Feminist
    -0.83
    SPONSORED
    -0.80
     Capitalism
    -0.77
    netflix
    -0.76
     Shutterstock
    -0.73
    displayText
    -0.72
    heit
    -0.71
    POSITIVE LOGITS
     rookie
    0.96
     teammate
    0.96
     Miller
    0.94
     Rookie
    0.92
     undrafted
    0.90
     Matthews
    0.90
     rookies
    0.88
     Thompson
    0.88
     Romo
    0.87
     Allen
    0.87
    Activations Density 0.243%

    No Known Activations