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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. 1-RES-JB
    6. 6027
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    Explanations

    words or prefixes related to medical or technical procedures and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related concepts and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.94
     HELL
    -0.68
     NEC
    -0.67
     Omn
    -0.65
     Symphony
    -0.64
    chwitz
    -0.63
     partName
    -0.63
     UID
    -0.62
    HAM
    -0.62
     Assass
    -0.62
    POSITIVE LOGITS
    oes
    0.86
    opt
    0.85
    ét
    0.85
    ê
    0.84
    age
    0.83
    arial
    0.82
    emale
    0.81
    adic
    0.80
    Georg
    0.77
    ette
    0.77
    Activations Density 0.638%

    No Known Activations