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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. 13180
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    Explanations

    references to meals and dining experiences

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

    mentions of lunch and dinner meals.

    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
     assoluto
    -0.40
    acidad
    -0.39
     Nacionales
    -0.38
     AssemblyCulture
    -0.37
    pylene
    -0.35
     ervan
    -0.35
    acidade
    -0.35
     médicale
    -0.35
     lâmpada
    -0.34
     télécommande
    -0.34
    POSITIVE LOGITS
     served
    0.56
     onOptions
    0.54
     eaten
    0.50
     cooked
    0.49
    +#+
    0.49
    served
    0.49
    OptionsMenu
    0.49
    StoryboardSegue
    0.48
     menus
    0.48
    etCode
    0.48
    Activations Density 0.100%

    No Known Activations