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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 63490
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    INDEX
    Explanations

    cooking and food preparation instructions

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

    making smooth or thick

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ignty
    -0.46
     EconPapers
    -0.46
     matrices
    -0.46
    subplots
    -0.45
     compri
    -0.44
     squads
    -0.41
     objectMapper
    -0.41
    portál
    -0.40
    matrices
    -0.40
     gyhoeddwyd
    -0.39
    POSITIVE LOGITS
     thicken
    0.67
     smooth
    0.66
     smoothness
    0.60
     thickening
    0.59
     roux
    0.58
    smooth
    0.56
     smoother
    0.56
     smoothing
    0.56
     creamy
    0.54
     lisse
    0.53
    Activations Density 0.027%

    No Known Activations