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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 12716
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    Explanations

    references to greyhound racing events

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ç§
    -0.16
     Tennis
    -0.15
     Gir
    -0.15
    762
    -0.15
    æŀ¶
    -0.14
    ugu
    -0.14
    θμ
    -0.14
    _mtx
    -0.14
     Rugby
    -0.14
     punches
    -0.14
    POSITIVE LOGITS
     Harness
    0.21
     pacing
    0.20
     harness
    0.20
     Trot
    0.20
    Harness
    0.19
     trot
    0.18
     driver
    0.16
    tach
    0.16
    drivers
    0.16
    mae
    0.15
    Activations Density 0.014%

    No Known Activations