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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. 4128
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    Explanations

    references to clothing or garments, particularly pants and shorts

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

    This neuron activates most strongly on clothing items, particularly pants and shorts.

    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
    Neck
    -0.51
     Neck
    -0.50
    ネック
    -0.45
     Shirt
    -0.45
     hals
    -0.44
     brazo
    -0.43
     neck
    -0.43
    Shirt
    -0.42
     cuello
    -0.40
    rungsseite
    -0.39
    POSITIVE LOGITS
     thighs
    0.99
     pants
    0.86
     thigh
    0.86
     legs
    0.84
     trousers
    0.84
     jeans
    0.83
     trouser
    0.83
     knee
    0.80
    👖
    0.78
     knees
    0.77
    Activations Density 0.193%

    No Known Activations