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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. 6-RES-JB
    6. 16301
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    Explanations

    phrases related to a specific action or event happening "just" before something else

    oai_token-act-pair · gpt-3.5-turbo

    the word "just" and expressions emphasizing proximity or immediacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glomer
    -0.65
     cous
    -0.64
    aea
    -0.64
    idon
    -0.62
    pora
    -0.62
     contention
    -0.62
     seiz
    -0.62
     confir
    -0.62
     Correction
    -0.59
    xual
    -0.59
    POSITIVE LOGITS
    ifications
    1.30
    ifiable
    1.12
    ices
    1.04
    if
    1.00
    itia
    0.94
    IFIC
    0.91
    IFIED
    0.90
    ifi
    0.90
    ifier
    0.85
    ICES
    0.85
    Activations Density 0.083%

    No Known Activations