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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. 49998
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    Explanations

    terms related to wetness and moisture

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

    wetness, wetting, wettability

    np_acts-logits-general · gemini-2.5-flash-lite
    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
     laſſen
    -0.86
    ſicht
    -0.82
    iſchen
    -0.82
    <unused16>
    -0.81
    <unused52>
    -0.80
    <unused43>
    -0.80
    <unused14>
    -0.80
    <unused8>
    -0.80
    <unused3>
    -0.80
    <pad>
    -0.80
    POSITIVE LOGITS
     wet
    1.60
    wet
    1.41
     Wet
    1.35
    Wet
    1.34
     WET
    1.14
    WET
    1.06
     wetter
    0.99
     wetting
    0.97
     moist
    0.93
     basah
    0.89
    Activations Density 0.029%

    No Known Activations