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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. 8-RES-JB
    11. 9894
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    INDEX
    Explanations

    mentions of sports-related activities and strategies

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to consistency and repetitive actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ®
    -0.87
    Flickr
    -0.85
     NYT
    -0.82
     Feminist
    -0.76
     Salon
    -0.76
     Economist
    -0.76
    utterstock
    -0.76
    NOW
    -0.73
     Orwell
    -0.73
     Shutterstock
    -0.72
    POSITIVE LOGITS
    Coach
    1.23
     coaching
    1.22
     teammates
    1.17
     preseason
    1.16
     coaches
    1.15
     Coach
    1.15
     offensively
    1.13
     adversity
    1.13
     rookies
    1.10
     coach
    1.06
    Activations Density 1.095%

    No Known Activations