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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. 9-RES-JB
    11. 16296
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    Explanations

    phrases related to football

    oai_token-act-pair · gpt-3.5-turbo

    mentions of football and its associated context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Sports-related features
    wonder if this also activates on merican football

    No Comments

    Negative Logits
     Ples
    -0.68
    EStream
    -0.67
    è¦ļéĨĴ
    -0.66
    windows
    -0.63
    ãĥ´
    -0.62
    oldemort
    -0.62
     Alibaba
    -0.61
     Forth
    -0.61
     Nas
    -0.61
    aft
    -0.60
    POSITIVE LOGITS
     stadiums
    1.05
     stadium
    0.90
    players
    0.89
     clubs
    0.88
    club
    0.85
     club
    0.83
     academy
    0.81
     acad
    0.81
    ing
    0.79
    ers
    0.78
    Activations Density 0.046%

    No Known Activations