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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. 10674
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    INDEX
    Explanations

    mentions of physical injuries and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of injuries

    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
    ramid
    -0.81
    zee
    -0.72
    sonian
    -0.72
    chin
    -0.72
    zin
    -0.70
     Zup
    -0.70
    izontal
    -0.69
    artisan
    -0.69
    icles
    -0.69
    ihu
    -0.68
    POSITIVE LOGITS
     sustained
    1.04
     suffered
    0.99
     plagued
    0.91
     injury
    0.91
     ravaged
    0.89
     inflicted
    0.89
     woes
    0.88
     sidelined
    0.88
     ailments
    0.87
     prone
    0.86
    Activations Density 0.055%

    No Known Activations