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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8471
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    Explanations

    references to specific names, characters, and terms from a narrative or fictional context

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

    starting with "Ker" or related to "Kern"

    np_acts-logits-general · gemini-2.0-flash

    Ker, Jer, and words ending in -er/-ern

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ური
    -0.63
     tiguan
    -0.57
    pyplot
    -0.55
     consig
    -0.55
    ArrowToggle
    -0.55
    ="#"><
    -0.54
     Obrador
    -0.50
     assi
    -0.49
     Indices
    -0.49
    комму
    -0.48
    POSITIVE LOGITS
    rer
    0.53
    er
    0.52
     ร์
    0.44
    era
    0.44
    ern
    0.42
    erà
    0.41
    erts
    0.41
     rimasto
    0.40
    erra
    0.40
     gravedad
    0.39
    Activations Density 1.064%

    No Known Activations