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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 131k
    9. 24-GEMMASCOPE-RES-131K
    11. 1283
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    INDEX
    Explanations

    references to snow and ice conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    snow, snowfall, snowpacks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_131k/average_l0_97
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    SharedDtor
    -0.52
    pushFollow
    -0.52
     exportaciones
    -0.52
    CPtr
    -0.51
    batore
    -0.51
    Життєпис
    -0.50
    RegressionTest
    -0.49
     tramonto
    -0.49
    afficheront
    -0.49
     EconPapers
    -0.49
    POSITIVE LOGITS
     snow
    1.12
    snow
    0.93
     Snow
    0.89
    Snow
    0.89
     snowfall
    0.87
    ☃
    0.82
     snowy
    0.80
     SNOW
    0.78
    ⛄
    0.76
     snows
    0.75
    Activations Density 0.012%

    No Known Activations