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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. 10455
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    Explanations

    names of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    specific sports teams mentioned in the context of games and outcomes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    tymology
    -0.84
     portfolios
    -0.80
     memos
    -0.79
     Donation
    -0.71
    ived
    -0.68
     lawy
    -0.68
    %%%%
    -0.67
     portfolio
    -0.66
     journals
    -0.66
    kefeller
    -0.65
    POSITIVE LOGITS
     rivals
    0.84
     rival
    0.80
     undefeated
    0.77
     intruder
    0.73
     teammate
    0.72
     opponent
    0.71
     Scarlet
    0.71
    matched
    0.70
     Giants
    0.70
     foe
    0.70
    Activations Density 0.215%

    No Known Activations