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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. 11-RES-JB
    11. 24462
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    Explanations

    keywords related to various sports such as football, basketball, and hockey

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports and athletic achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scientology
    -0.70
     Canaver
    -0.66
     IPM
    -0.66
    onies
    -0.63
     weddings
    -0.63
     Entertainment
    -0.63
    politics
    -0.63
     churches
    -0.62
     hospitals
    -0.62
     gatherings
    -0.62
    POSITIVE LOGITS
     scorer
    1.27
     rusher
    1.16
     performer
    1.06
     runner
    1.02
     defender
    1.02
     passer
    1.01
     hitter
    1.00
     blocker
    1.00
     contender
    0.99
     contributor
    0.99
    Activations Density 0.184%

    No Known Activations