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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. 5976
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    Explanations

    words related to medical conditions and treatments, specifically with emphasis on body parts and medical terminology

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical identifiers and certain medical terminology

    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
    Bug
    -0.69
    uphem
    -0.67
     Chips
    -0.63
    FK
    -0.63
    ipers
    -0.61
     DJs
    -0.59
     Roose
    -0.59
    Pink
    -0.59
    Story
    -0.59
    Sounds
    -0.59
    POSITIVE LOGITS
    wagen
    0.86
    Ħ¢
    0.80
    efe
    0.66
    ensis
    0.66
    chnology
    0.66
    sted
    0.64
    İĭ
    0.64
     Supplementary
    0.63
    anza
    0.63
    âĪĴ
    0.62
    Activations Density 0.220%

    No Known Activations