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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. 76256
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    Explanations

    references to titanium and magnesium, particularly in scientific contexts

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

    metallic elements

    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
    配
    -0.43
    providedIn
    -0.43
    立
    -0.42
    市
    -0.41
    打
    -0.41
    set
    -0.41
    集
    -0.41
    作
    -0.40
    是
    -0.40
    Joe
    -0.39
    POSITIVE LOGITS
     aluminum
    0.79
     Aluminum
    0.77
     titanium
    0.77
     Aluminium
    0.74
     aluminium
    0.74
     Titanium
    0.73
     magnesium
    0.71
     bronze
    0.68
    Aluminum
    0.67
    aluminium
    0.66
    Activations Density 0.023%

    No Known Activations