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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. 9-RES-JB
    11. 1543
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    Explanations

    terms related to sports and physical performance, particularly focusing on power and plays

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports, particularly focusing on game strategy and player positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.03
    netflix
    -0.81
     Canaver
    -0.76
     Inquis
    -0.74
     Greenpeace
    -0.74
     Shutterstock
    -0.73
     TED
    -0.72
    Flickr
    -0.69
     Walmart
    -0.69
     Tinder
    -0.69
    POSITIVE LOGITS
     scorer
    1.19
     hitter
    1.09
     hitters
    1.06
     fullback
    1.05
     infield
    0.99
     midfield
    0.98
     outfield
    0.98
    scoring
    0.97
     scoring
    0.97
     teammate
    0.96
    Activations Density 0.281%

    No Known Activations