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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. 36525
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    Explanations

    references to casualness in various contexts

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

    casual language

    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
     Inscrivez
    -0.67
     Utilisez
    -0.51
     métallique
    -0.50
     Económica
    -0.49
     commandement
    -0.49
    føring
    -0.49
     Gedicht
    -0.49
     serpiente
    -0.47
     Ministerio
    -0.47
    writeString
    -0.47
    POSITIVE LOGITS
    casual
    2.22
    Casual
    2.16
     Casual
    2.14
     casual
    2.13
     casually
    1.58
     Causal
    1.20
     causal
    1.16
    Informal
    1.06
     informal
    1.04
     Informal
    1.02
    Activations Density 0.007%

    No Known Activations