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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. 9-RES-JB
    6. 9613
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    Explanations

    phrases that involve a specific activity or task as part of a broader concept or initiative

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to participation in various activities or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asu
    -0.56
     Leilan
    -0.56
    izu
    -0.55
     heights
    -0.54
     butterflies
    -0.53
    zens
    -0.52
     Typ
    -0.52
    irgin
    -0.51
    quit
    -0.50
     goats
    -0.50
    POSITIVE LOGITS
    ridge
    0.81
    aking
    0.77
    meal
    0.75
     of
    0.75
    ridges
    0.73
    onement
    0.71
    displayText
    0.68
    fitted
    0.66
    uary
    0.65
    etsu
    0.64
    Activations Density 0.026%

    No Known Activations