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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. 125417
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    Explanations

    specific high-stakes situations or challenges related to exploration and endurance

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

    mountain names

    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
     CURIAM
    -0.46
    RenderAtEndOf
    -0.46
     habet
    -0.46
    Rptr
    -0.45
     Rptr
    -0.45
    utilisons
    -0.41
     '{@
    -0.41
    aarrggbb
    -0.40
    RegressionTest
    -0.40
    ↹
    -0.39
    POSITIVE LOGITS
     Everest
    1.20
    manjaro
    0.80
    jeeling
    0.67
     Kili
    0.65
     Yeti
    0.57
     Picchu
    0.56
     yeti
    0.55
     sherpa
    0.54
     Himalayas
    0.52
     Himal
    0.50
    Activations Density 0.011%

    No Known Activations