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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. 10-RES-JB
    11. 3208
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    Explanations

    references to sports events, strategies, and game outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive sports scenarios and game strategies

    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
    indust
    -0.84
    igslist
    -0.80
    verified
    -0.79
    mobi
    -0.78
    ricia
    -0.78
    cult
    -0.77
    netflix
    -0.75
    enegger
    -0.74
    owan
    -0.73
     SX
    -0.72
    POSITIVE LOGITS
     scoreboard
    1.59
     scorer
    1.39
     referees
    1.38
     goalkeeper
    1.37
     referee
    1.34
     opponent
    1.32
     goalie
    1.29
     scoring
    1.25
     score
    1.25
     turnovers
    1.24
    Activations Density 0.497%

    No Known Activations