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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 8310
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    Explanations

    terms related to wooden products and their manufacturing processes

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

    wood or timber

    np_acts-logits-general · gemini-2.0-flash

    wood and timber production

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.60
    त्रा
    -0.51
     adipis
    -0.50
     ом
    -0.50
    lgari
    -0.49
     Renal
    -0.49
     كومونز
    -0.49
     initComponents
    -0.48
    オム
    -0.47
     Dhabi
    -0.45
    POSITIVE LOGITS
     wood
    1.68
     timber
    1.41
     Wood
    1.40
    Wood
    1.37
    wood
    1.34
     WOOD
    1.28
    木材
    1.25
    WOOD
    1.24
    timber
    1.21
     Timber
    1.20
    Activations Density 0.230%

    No Known Activations