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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. 4-RES-JB
    6. 12758
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    Explanations

    phrases related to amazement or surprise

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "behold" and its derivatives

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

    No Comments

    Negative Logits
     Hiroshima
    -0.73
     Atkinson
    -0.70
     Aberdeen
    -0.70
     Scotia
    -0.67
     Kaiser
    -0.66
     MacArthur
    -0.65
     McCann
    -0.62
     Okinawa
    -0.61
     Parenthood
    -0.61
     Hurricanes
    -0.60
    POSITIVE LOGITS
     behold
    1.15
    entimes
    1.02
    ers
    0.92
    masters
    0.90
    iful
    0.84
    erers
    0.84
    ibilities
    0.83
    leground
    0.83
    elines
    0.82
    !--
    0.81
    Activations Density 0.011%

    No Known Activations