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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 4791
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    Explanations

    expressions of strong emotional responses, particularly related to crying and laughter

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

    crying or strong emotion

    np_acts-logits-general · gemini-2.0-flash

    crying

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esModule
    -0.49
    ngrx
    -0.49
    vician
    -0.48
    SerializedName
    -0.45
    styleable
    -0.44
     Ensino
    -0.44
    maining
    -0.43
    partition
    -0.42
    AnchorTagHelper
    -0.41
     titolata
    -0.40
    POSITIVE LOGITS
     weeping
    0.65
     tears
    0.60
     sobbing
    0.59
     scream
    0.57
     crying
    0.56
    tears
    0.52
     lágrimas
    0.51
     sobbed
    0.50
     screaming
    0.49
     weep
    0.48
    Activations Density 0.199%

    No Known Activations