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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 7753
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    INDEX
    Explanations

    features related to vehicle design and aesthetics

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

    a vehicle's rear

    np_acts-logits-general · gemini-2.0-flash

    rear vehicle parts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     foreground
    -0.39
    opje
    -0.37
    ρίς
    -0.37
     frontal
    -0.36
    ablecer
    -0.35
     face
    -0.35
     Frontal
    -0.35
    icordia
    -0.35
     Norden
    -0.35
    face
    -0.35
    POSITIVE LOGITS
     rear
    1.17
     Rear
    1.02
     tail
    1.00
    Rear
    0.99
    rear
    0.97
     trasero
    0.94
     REAR
    0.94
     зад
    0.92
     hinten
    0.91
     posterior
    0.89
    Activations Density 0.356%

    No Known Activations