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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
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    Explanations

    sports scores and game outcomes

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations of sports scores

    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
    agna
    -0.71
     consulted
    -0.70
    research
    -0.70
    ometers
    -0.69
    netflix
    -0.66
     researched
    -0.66
     researching
    -0.64
    science
    -0.62
    conserv
    -0.62
    living
    -0.60
    POSITIVE LOGITS
     halftime
    0.82
     underdog
    0.80
    ĪĴ
    0.79
     victory
    0.72
    ½
    0.70
     aggregate
    0.70
     defeat
    0.69
    lled
    0.67
     overtime
    0.66
     Tie
    0.64
    Activations Density 0.028%

    No Known Activations