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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 23605
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    Explanations

    information related to health, nutrition, and physical well-being

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health and dietary impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Unsure
    -0.83
    EStream
    -0.81
    ç·
    -0.78
     conclud
    -0.73
    Rand
    -0.73
    DragonMagazine
    -0.70
    çīĪ
    -0.70
     Pwr
    -0.70
    cffffcc
    -0.69
    Method
    -0.67
    POSITIVE LOGITS
     muscles
    1.32
     bones
    1.26
     digestion
    1.23
     arteries
    1.21
     kidneys
    1.21
     bacteria
    1.20
     metabolism
    1.19
     cells
    1.19
     neurons
    1.17
     mitochond
    1.15
    Activations Density 0.270%

    No Known Activations