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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 40409
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    Explanations

    proper nouns related to sports and player names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    hockey player names and teams

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.43
    jspb
    -0.36
    IVEREF
    -0.36
    rain
    -0.35
     rain
    -0.35
    PYX
    -0.35
     neum
    -0.34
    expandindo
    -0.34
     Rain
    -0.34
     Sol
    -0.33
    POSITIVE LOGITS
     hockey
    1.31
    Hockey
    1.19
     NHL
    1.18
     Hockey
    1.18
    hockey
    1.09
    NHL
    1.08
     skating
    1.08
     puck
    1.07
     skates
    1.04
    🏒
    1.00
    Activations Density 0.097%

    No Known Activations