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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. 5-RES-JB
    6. 16912
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    Explanations

    phrases related to health conditions or medical information

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving people categorized by their conditions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    press
    -0.68
    abre
    -0.64
    365
    -0.64
     roundup
    -0.62
    review
    -0.62
    println
    -0.61
    obi
    -0.61
    advertising
    -0.60
    Fed
    -0.59
    waters
    -0.59
    POSITIVE LOGITS
    stood
    1.58
     regard
    1.21
    drawn
    1.14
     whom
    1.13
     regards
    1.12
    standing
    1.01
     impunity
    1.00
     disabilities
    0.97
     respect
    0.95
    held
    0.91
    Activations Density 0.123%

    No Known Activations