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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. 15747
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    INDEX
    Explanations

    elements related to emotional expressions and sentiments

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

    followed by commas and conjunctions

    np_acts-logits-general · gemini-2.0-flash

    list separators like comma and 'and'

    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
    ,
    -0.71
    ;
    -0.51
     which
    -0.50
    /
    -0.44
     S
    -0.43
    、
    -0.43
     due
    -0.43
     istore
    -0.42
     <<<<<<<<<<<<<<
    -0.41
     (
    -0.40
    POSITIVE LOGITS
     etc
    0.67
     desmotivaciones
    0.67
     Theſe
    0.66
     Normdatei
    0.65
     dokonce
    0.62
     queſta
    0.60
     Italijani
    0.57
    などなど
    0.56
     sogar
    0.56
     Económica
    0.56
    Activations Density 0.407%

    No Known Activations