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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 89396
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    Explanations

    references to the Howard Johnson brand and its nostalgia

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

    roads and travel destinations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     aapt
    -0.47
     vecinos
    -0.43
    rrggbb
    -0.41
    getDoctrine
    -0.41
     PyObject
    -0.40
    Neighbours
    -0.38
    domada
    -0.38
     Stadtteil
    -0.37
    PostInfinity
    -0.37
    FetchType
    -0.36
    POSITIVE LOGITS
     roadside
    1.25
     highway
    1.11
     travelers
    0.96
     motorway
    0.96
    highway
    0.94
    Highway
    0.90
     travellers
    0.88
     traveler
    0.87
     Highway
    0.86
     highways
    0.84
    Activations Density 0.068%

    No Known Activations