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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. 10427
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    Explanations

    numerical data related to aerodynamic models and their sources

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

    This neuron detects aircraft and aviation-related terminology, particularly model numbers and specifications of planes.

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

    aircraft model numbers and designations.

    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
     driving
    -0.43
     Driving
    -0.39
     FetchType
    -0.39
    alova
    -0.36
     Fah
    -0.36
    EndTag
    -0.35
    enterOuterAlt
    -0.35
     lecteur
    -0.35
    Driving
    -0.34
     picked
    -0.34
    POSITIVE LOGITS
     Boeing
    0.69
    Boeing
    0.65
     Airbus
    0.64
    MLLoader
    0.63
     jet
    0.60
     jets
    0.57
     planes
    0.54
     aircraft
    0.53
     plane
    0.52
     jumbo
    0.51
    Activations Density 0.097%

    No Known Activations