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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7365
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    Explanations

    terms related to American football players and their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scă
    -0.29
     مشار
    -0.25
     $\
    -0.25
     Zem
    -0.24
     obicei
    -0.24
    ​
    -0.23
     display
    -0.23
    alakip
    -0.23
     skär
    -0.23
    “
    -0.23
    POSITIVE LOGITS
     NFL
    1.32
    NFL
    1.27
     quarterback
    1.14
     quarterbacks
    1.08
    🏈
    1.05
     linebacker
    1.03
     QB
    1.03
     Football
    1.02
     Steelers
    1.00
     touchdowns
    0.98
    Activations Density 1.478%

    No Known Activations