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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 10656
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    INDEX
    Explanations

    references to various types of weapons and their features or qualities

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

    sword and blade contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     témoig
    -0.65
    <unused71>
    -0.62
    [@BOS@]
    -0.62
    <unused16>
    -0.62
    <unused68>
    -0.62
    <unused79>
    -0.62
    <unused51>
    -0.62
    <unused43>
    -0.62
    <unused28>
    -0.62
    <unused41>
    -0.62
    POSITIVE LOGITS
     blade
    0.86
     sword
    0.72
     blades
    0.71
     knife
    0.69
     knives
    0.68
     swords
    0.65
     weapon
    0.64
    blade
    0.61
     Blade
    0.59
     weapons
    0.54
    Activations Density 0.063%

    No Known Activations