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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 59367
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    INDEX
    Explanations

    the word "thorough" and its variants

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

    thorough study or examination

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.67
    MLLoader
    -0.67
    featureID
    -0.66
    <pad>
    -0.66
    +#+
    -0.65
    <unused16>
    -0.65
    <unused51>
    -0.65
    <unused14>
    -0.65
    [@BOS@]
    -0.65
    <unused3>
    -0.65
    POSITIVE LOGITS
     thorough
    1.95
     Thorough
    1.74
     thoroughly
    1.39
    thor
    1.07
     THOR
    0.99
    Thor
    0.98
     comprehensive
    0.97
     thor
    0.86
    oughly
    0.85
     meticulous
    0.79
    Activations Density 0.007%

    No Known Activations