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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. 116015
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    INDEX
    Explanations

    intensifiers like "very" used to emphasize adjectives

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

    very + adjective

    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
    テンツ
    -0.47
    日閲覧
    -0.45
     BoxFit
    -0.43
    Демографія
    -0.43
     Olom
    -0.42
     beyond
    -0.42
    靦
    -0.42
     sauvage
    -0.42
     blessing
    -0.42
     Broughton
    -0.41
    POSITIVE LOGITS
    ponses
    0.44
    Very
    0.44
    ngdoc
    0.43
     very
    0.41
     ArrayAdapter
    0.41
     Moderately
    0.41
     Fairly
    0.40
     Motors
    0.39
     Very
    0.39
     fairly
    0.39
    Activations Density 0.004%

    No Known Activations