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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. 3-RES-JB
    6. 972
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    Explanations

    words related to being surprised or amazed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "behold" and related phrases indicating attention or observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •shakespeare
    surprise
    •layer 3 - surprise

    No Comments

    Negative Logits
     MacArthur
    -0.70
     Hiroshima
    -0.70
     Scotia
    -0.66
    CDC
    -0.64
     Atkinson
    -0.63
     McCann
    -0.63
     Hurricanes
    -0.63
     medic
    -0.62
     Diesel
    -0.62
     Kaiser
    -0.61
    POSITIVE LOGITS
     behold
    1.33
    entimes
    1.12
    ers
    0.97
    ardless
    0.92
    !--
    0.89
    htaking
    0.88
    masters
    0.88
    ering
    0.84
    enance
    0.84
    owship
    0.83
    Activations Density 0.008%

    No Known Activations