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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 13016
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    Explanations

    features related to vehicle design and technology components

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

    "rear" or "tail."

    np_acts-logits-general · gemini-2.0-flash

    rear description

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     front
    -0.60
     Frontal
    -0.54
     Front
    -0.52
     frontal
    -0.52
    Front
    -0.52
     fronts
    -0.51
     frente
    -0.49
    Frente
    -0.49
    frente
    -0.48
     FRONT
    -0.48
    POSITIVE LOGITS
     rear
    0.96
     tail
    0.91
     Rear
    0.88
    Rear
    0.87
    rear
    0.81
     Tail
    0.81
     trasero
    0.78
     REAR
    0.76
     tails
    0.75
     posterior
    0.72
    Activations Density 0.253%

    No Known Activations