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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. 2908
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    Explanations

    references to dental care or dental issues

    oai_token-act-pair · gpt-3.5-turbo

    references to teeth

    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
    icipated
    -0.77
    arters
    -0.77
    ukong
    -0.75
    thumbnails
    -0.73
     Alic
    -0.71
    aird
    -0.71
     Archdemon
    -0.70
     Santos
    -0.69
    ISS
    -0.68
     Sisters
    -0.67
    POSITIVE LOGITS
     teeth
    1.24
    bone
    1.03
    paste
    1.02
     tooth
    0.96
     cavity
    0.94
    bite
    0.94
    brush
    0.93
     braces
    0.93
     dent
    0.91
     clen
    0.91
    Activations Density 0.014%

    No Known Activations