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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. 8427
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    Explanations

    references to films and characters within a narrative context

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

    proper nouns and character names, especially from TV shows and films.

    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
     noDo
    -0.62
     CreateTagHelper
    -0.61
     abbildung
    -0.44
    RectangleBorder
    -0.44
     kiin
    -0.43
     propOrder
    -0.43
     Bioaccumulative
    -0.43
     fotografico
    -0.41
     pulseira
    -0.41
     plástica
    -0.40
    POSITIVE LOGITS
     comedy
    1.25
     comedic
    1.20
     hilarious
    1.12
    comedy
    1.07
     funnier
    1.05
     Comedy
    1.00
     comedies
    0.94
     comical
    0.94
     comedian
    0.93
     comedians
    0.93
    Activations Density 0.291%

    No Known Activations