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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 26-LLAMASCOPE-RES-32K
    11. 31651
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    Explanations

    references to vehicles and their attributes or functionalities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Motorcycle
    -0.18
    .names
    -0.16
    cow
    -0.15
    åıİ
    -0.15
     automobile
    -0.15
    atee
    -0.15
     kitten
    -0.14
    amburger
    -0.14
     handgun
    -0.14
    à¸Ħà¸Ļ
    -0.14
    POSITIVE LOGITS
     machines
    0.52
     vehicles
    0.47
     units
    0.43
     cars
    0.43
     boats
    0.41
     models
    0.40
    vehicles
    0.39
     ships
    0.38
     vessels
    0.38
     Machines
    0.36
    Activations Density 0.427%

    No Known Activations