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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. 117361
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    Explanations

    references to materials, particularly various types of metals and plastics

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

    objects made of materials

    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
     kasarigan
    -0.70
     ModelExpression
    -0.63
    ReusableCell
    -0.60
     gynhyrchwyd
    -0.59
     JpaRepository
    -0.57
     AssemblyCulture
    -0.55
     kaarangay
    -0.55
    Referanser
    -0.54
     increí
    -0.54
     Autorisations
    -0.53
    POSITIVE LOGITS
     plastic
    0.58
     rubber
    0.50
     metal
    0.50
     wooden
    0.50
     fake
    0.49
     white
    0.48
     glass
    0.47
     silver
    0.46
     black
    0.45
     leather
    0.45
    Activations Density 0.077%

    No Known Activations