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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 16198
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    Explanations

    phrases related to steep descents and controlled driving experiences

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

    relating to hills or mountains

    np_acts-logits-general · gemini-2.0-flash

    up and down hills

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     liquid
    -0.49
    exus
    -0.47
    adaptiveStyles
    -0.46
    Abp
    -0.46
     jsPsych
    -0.45
    rums
    -0.45
    殷
    -0.44
    Искәрмәләр
    -0.43
    tson
    -0.43
    nexus
    -0.43
    POSITIVE LOGITS
     hill
    1.74
     hillside
    1.61
     mountain
    1.53
     hills
    1.52
     hilly
    1.47
     uphill
    1.41
     mountainous
    1.40
     slopes
    1.39
    mountain
    1.36
     slope
    1.34
    Activations Density 0.169%

    No Known Activations