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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 11347
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    Explanations

    phrases that inquire about positive experiences or characteristics involving people or conditions

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

    numbers followed by specific words

    np_acts-logits-general · gemini-2.5-flash-lite

    It detects numeric/count cues and list prompts (numbers and quantifiers like "two", "three", "something", etc.).

    oai_token-act-pair · gpt-5-miniTriggered by @vetterc0
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     történ
    -0.35
     normalidad
    -0.30
     oportunidade
    -0.30
     tých
    -0.30
     comprometido
    -0.30
     szinte
    -0.29
     redacción
    -0.28
     óptica
    -0.28
     optique
    -0.28
     claros
    -0.27
    POSITIVE LOGITS
     CreateTagHelper
    0.97
     betweenstory
    0.91
    [@BOS@]
    0.84
    <unused52>
    0.83
    <unused51>
    0.83
    <unused28>
    0.83
    <pad>
    0.83
    <unused14>
    0.83
    <unused8>
    0.83
    <unused3>
    0.83
    Activations Density 0.176%

    No Known Activations