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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7702
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    INDEX
    Explanations

    proper nouns related to people, places, or notable works

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Tokens before numbers in references

    np_acts-logits-general · gemini-2.0-flash

    names ending in o

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     orgánica
    -0.54
    น
    -0.53
     sintética
    -0.52
     chilena
    -0.52
     mesmas
    -0.51
     medesimo
    -0.50
     elástica
    -0.50
     aguda
    -0.50
     navideña
    -0.50
     colgantes
    -0.50
    POSITIVE LOGITS
    StoryboardSegue
    0.53
     Immuno
    0.52
    ぉ
    0.52
    os
    0.51
    aco
    0.50
    eco
    0.50
    Mojo
    0.48
     Pico
    0.48
     Lino
    0.48
    Rohy
    0.48
    Activations Density 1.211%

    No Known Activations