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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 12570
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    Explanations

    comparisons related to fuel efficiency and performance in vehicles

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

    content related to fuel efficiency, fuel consumption, and vehicle performance specifications.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    numerical specifications and technical performance metrics.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    BindView
    -0.36
    iritto
    -0.36
    createTextNode
    -0.35
    BlockPos
    -0.34
     FACILITIES
    -0.33
    ViewFeatures
    -0.33
     Poz
    -0.32
    ContentLoaded
    -0.32
    actionMode
    -0.32
     ModelExpression
    -0.31
    POSITIVE LOGITS
     fuel
    1.37
    燃費
    1.20
     Fuel
    1.19
    Fuel
    1.16
     mpg
    1.14
    fuel
    1.12
     MPG
    1.09
     consumption
    1.05
     consumo
    0.98
     consommation
    0.98
    Activations Density 0.202%

    No Known Activations