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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13943
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    Explanations

    references to quarterbacks in football contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CMake
    -0.46
     Gurney
    -0.46
     HX
    -0.45
     nutricional
    -0.45
    insic
    -0.45
     abstracto
    -0.44
     Matches
    -0.44
    mybatisplus
    -0.44
     "'");
    -0.43
     Jubilee
    -0.43
    POSITIVE LOGITS
     quarterback
    1.36
     football
    1.36
     quarterbacks
    1.25
     NFL
    1.21
     offensive
    1.18
     linebacker
    1.16
     Football
    1.13
    Football
    1.12
     defensive
    1.10
    football
    1.10
    Activations Density 0.500%

    No Known Activations