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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. 13143
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    Explanations

    words related to different medical treatments and procedures

    oai_token-act-pair · gpt-3.5-turbo

    specific character strings or letters with high frequency in the text

    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
    OPLE
    -0.81
     multim
    -0.73
    FORMATION
    -0.68
     butterfly
    -0.67
    FTWARE
    -0.67
    $$$$
    -0.66
    REF
    -0.63
     Compass
    -0.61
     feathers
    -0.61
     gorilla
    -0.61
    POSITIVE LOGITS
    ahn
    0.76
    ka
    0.75
    sa
    0.74
    esh
    0.74
    hra
    0.73
    acho
    0.73
    anas
    0.72
    ury
    0.72
    ija
    0.72
    endra
    0.71
    Activations Density 0.158%

    No Known Activations