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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. 0-RES-JB
    6. 3579
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    Explanations

    words related to unexpected events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to surprises and unpredictability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibur
    -0.78
    heid
    -0.71
    lite
    -0.70
    men
    -0.70
    glass
    -0.66
    halla
    -0.66
    ula
    -0.66
    craft
    -0.66
    ulk
    -0.65
    kees
    -0.64
    POSITIVE LOGITS
     unexpected
    3.59
     unforeseen
    2.50
     unexpectedly
    2.12
     surprising
    1.92
     unpredictable
    1.85
     unintended
    1.85
     unusual
    1.65
     surprises
    1.59
     improbable
    1.59
     sudden
    1.58
    Activations Density 0.027%

    No Known Activations