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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 13112
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    Explanations

    technical discussions about brake pad materials and performance

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

    references to brake systems and components in vehicles, particularly focusing on brake pads, rotors, and braking performance.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    technical discussions about brake pad materials and rotor maintenance procedures.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     Majefty
    -0.53
    ſelf
    -0.51
    yargs
    -0.51
    <?
    -0.46
     houſe
    -0.43
     nakalista
    -0.42
    IsPostBack
    -0.40
     Chwiliwch
    -0.40
    lark
    -0.40
     NDR
    -0.40
    POSITIVE LOGITS
     brake
    1.29
     brakes
    1.16
     braking
    1.08
     Brake
    1.05
    brake
    1.02
     Brakes
    0.97
    Brake
    0.96
    ブレーキ
    0.87
     frenos
    0.83
     тормо
    0.77
    Activations Density 0.142%

    No Known Activations