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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 5335
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    Explanations

    descriptors related to various types of textures or conditions of objects

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

    wrinkled texture

    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
    tagHelperRunner
    -0.76
    Personendaten
    -0.66
    ########.
    -0.63
     Signalez
    -0.63
    enterOuterAlt
    -0.59
     utafitiHapana
    -0.57
    SequentialGroup
    -0.56
    ⓧ
    -0.56
    DockStyle
    -0.56
    RTCK
    -0.56
    POSITIVE LOGITS
     wrinkled
    0.79
     ruffled
    0.75
     wrinkles
    0.68
     wrinkle
    0.68
     crumpled
    0.62
     wrink
    0.61
     ruffle
    0.59
     corrugated
    0.58
    inkle
    0.56
    皱
    0.56
    Activations Density 0.018%

    No Known Activations