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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3237
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    INDEX
    Explanations

    adjectives and descriptors related to softness and comfort of materials

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

    describing pleasant textures or feelings

    np_acts-logits-general · gemini-2.0-flash

    soft and smooth qualities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atzen
    -0.53
     isolada
    -0.52
    OptionsMenu
    -0.51
    lň
    -0.49
     sectarian
    -0.49
    viewDid
    -0.49
     Вин
    -0.49
    iço
    -0.48
    letoe
    -0.47
     eyew
    -0.46
    POSITIVE LOGITS
     softness
    1.71
     soft
    1.66
     softer
    1.57
     Soft
    1.41
    soft
    1.40
     SOFT
    1.34
    Soft
    1.32
     smooth
    1.31
     smoothness
    1.30
     silky
    1.24
    Activations Density 0.212%

    No Known Activations