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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4975
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    INDEX
    Explanations

    intensifiers expressing strength of quality, particularly "very."

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

    "very" or similar intensifiers

    np_acts-logits-general · gemini-2.0-flash

    degree intensifiers

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    writeFieldEnd
    -0.71
     CURIAM
    -0.69
    shape
    -0.57
    squad
    -0.56
     Shape
    -0.53
     onLoad
    -0.52
    Opal
    -0.52
    Shape
    -0.50
    gestone
    -0.50
    EndContext
    -0.50
    POSITIVE LOGITS
     very
    1.68
     Very
    1.55
    Very
    1.51
    very
    1.49
     VERY
    1.38
    VERY
    1.22
     muy
    1.21
     très
    1.20
     очень
    1.18
     sehr
    1.16
    Activations Density 0.107%

    No Known Activations