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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. 9642
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    Explanations

    references to physical objects being held or carried

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

    People holding or carrying something

    np_acts-logits-general · gemini-2.0-flash

    armed and carrying items

    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
     desmotivaciones
    -0.50
     sensaciones
    -0.41
     siente
    -0.41
     grandeza
    -0.40
     cuestiones
    -0.40
     amitié
    -0.39
     utafitiHapana
    -0.39
     Italij
    -0.38
     kasarigan
    -0.38
     příjem
    -0.38
    POSITIVE LOGITS
     wearing
    0.65
     Wearing
    0.60
    wearing
    0.60
     armed
    0.59
    Wearing
    0.57
     betweenstory
    0.57
    Geplaatst
    0.57
     dressed
    0.56
    GEBURTSDATUM
    0.56
    Armed
    0.54
    Activations Density 0.412%

    No Known Activations