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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10930
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    INDEX
    Explanations

    phrases related to sports events and players

    oai_token-act-pair · gpt-3.5-turbo

    various sports-related terms and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Quartz
    -0.83
    urat
    -0.82
     pornographic
    -0.76
    opian
    -0.71
     enslaved
    -0.70
     Shutterstock
    -0.69
     satirical
    -0.69
     Goth
    -0.67
     divest
    -0.65
     Governments
    -0.65
    POSITIVE LOGITS
     rookie
    1.13
     Rookie
    1.13
     teammate
    1.07
     scorer
    1.06
     playoff
    1.01
    juries
    1.00
     rookies
    1.00
     teammates
    0.98
     fullback
    0.96
    scoring
    0.95
    Activations Density 0.169%

    No Known Activations