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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. 15010
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    Explanations

    medical terminology related to patient treatment and studies

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

    terminology and metrics related to workplace productivity and economic performance.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    phrases indicating negative outcomes, limitations, or adverse effects.

    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
     EconPapers
    -0.59
    DockStyle
    -0.43
     cucchia
    -0.36
     اینکه
    -0.36
     nguy
    -0.36
    garek
    -0.35
    дз
    -0.35
    Pyx
    -0.34
    用意
    -0.33
    vedì
    -0.33
    POSITIVE LOGITS
     due
    3.02
    due
    2.63
     devido
    2.48
     debido
    2.47
    Due
    2.34
     Due
    2.34
     DUE
    2.23
     owing
    2.17
     بسبب
    2.14
     wegen
    2.05
    Activations Density 1.971%

    No Known Activations