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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. 95418
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    Explanations

    references to bears, whether in nature or in other contexts

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

    bears and Sears

    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
     visual
    -0.40
     Wylie
    -0.39
     steps
    -0.39
     experiment
    -0.39
    cvtColor
    -0.39
     simulation
    -0.37
     Luk
    -0.36
     Nicholson
    -0.36
     "
    -0.35
     Talley
    -0.35
    POSITIVE LOGITS
     Bears
    2.39
    Bears
    1.95
    bears
    1.38
     bears
    1.20
     betweenstory
    0.92
    🐻
    0.86
    ########.
    0.82
     queſta
    0.80
    ViewFeatures
    0.78
    exitRule
    0.73
    Activations Density 0.001%

    No Known Activations