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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. 10-RES-JB
    6. 19134
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    Explanations

    phrases related to epidemics and ink

    oai_token-act-pair · gpt-3.5-turbo

    terms related to epidemiology and ink

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Guantanamo
    -0.59
     captivity
    -0.59
    hands
    -0.59
     hostages
    -0.57
     Ghostbusters
    -0.57
     Centauri
    -0.56
     Arabia
    -0.56
     holidays
    -0.56
     goats
    -0.56
     unchecked
    -0.55
    POSITIVE LOGITS
    iological
    1.25
    iologist
    1.11
    iology
    1.09
    iated
    1.02
    iod
    1.00
    iences
    0.90
    ios
    0.90
    ial
    0.90
    rates
    0.89
    iot
    0.89
    Activations Density 0.086%

    No Known Activations