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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8991
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    Explanations

    geographical or environmental features specific to alpine or mountainous regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hilly
    -0.91
     hills
    -0.82
     hill
    -0.80
     hillside
    -0.80
     Hills
    -0.74
     mountainous
    -0.72
     HILL
    -0.70
     HILLS
    -0.68
    Hills
    -0.68
    TypedDataSet
    -0.68
    POSITIVE LOGITS
     peak
    0.43
     summit
    0.42
     gain
    0.33
     peaks
    0.32
     Humphreys
    0.30
    Base
    0.30
    Ref
    0.30
     Versicher
    0.30
    Humph
    0.28
     Verhält
    0.28
    Activations Density 0.124%

    No Known Activations