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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 2401
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    Explanations

    references to hunting and wildlife management

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

    references to hunting and game animals, particularly deer.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    rungsseite
    -0.42
    Besos
    -0.42
     CanadaChoose
    -0.42
     almendras
    -0.40
     Kokos
    -0.39
     yogur
    -0.39
    coconut
    -0.38
     bebés
    -0.38
     Coconut
    -0.38
     pisang
    -0.37
    POSITIVE LOGITS
     hunting
    1.68
     hunters
    1.52
     Hunting
    1.47
    Hunting
    1.41
     hunter
    1.38
    hunting
    1.38
     hunt
    1.34
     deer
    1.32
     hunts
    1.31
     hunted
    1.24
    Activations Density 0.154%

    No Known Activations