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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 9079
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    Explanations

    references to quarterbacks and their performances

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    yarnpkg
    -0.47
     utafitiHapana
    -0.46
    InputTagHelper
    -0.39
    gridy
    -0.39
     Proposal
    -0.37
     Proposals
    -0.37
    춤
    -0.36
    npmjs
    -0.36
    clusão
    -0.35
     UITableViewCell
    -0.34
    POSITIVE LOGITS
     quarterback
    0.82
     throwing
    0.80
     quarterbacks
    0.78
     QB
    0.77
     throws
    0.75
     throw
    0.73
     Throwing
    0.72
    throwing
    0.71
     accuracy
    0.70
     pocket
    0.70
    Activations Density 0.177%

    No Known Activations