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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. 12-RES-JB
    6. 4735
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    INDEX
    Explanations

    physical symptoms and conditions related to exposure to substances or environmental factors

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    symptoms and health-related issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    rolet
    -0.80
    essor
    -0.64
     SOC
    -0.64
    arten
    -0.63
    hetical
    -0.62
    sonian
    -0.62
    ettel
    -0.61
    cash
    -0.61
     Mafia
    -0.61
     architect
    -0.60
    POSITIVE LOGITS
     sensations
    1.12
     symptoms
    1.08
     headaches
    1.06
     sensation
    1.05
     Symptoms
    1.01
     headache
    0.98
    chy
    0.97
     diarrhea
    0.97
    ptoms
    0.96
     caused
    0.94
    Activations Density 0.134%

    No Known Activations