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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. 1984
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    INDEX
    Explanations

    instances of the keyword "Ke" followed by a number, which seems to be a specific category or identifier in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Ke" across various contexts

    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
    etheless
    -0.70
     syn
    -0.66
     Gateway
    -0.66
     controllers
    -0.62
    sburgh
    -0.62
     Kinnikuman
    -0.61
     Blumenthal
    -0.61
     specializing
    -0.59
     Ort
    -0.59
     IMAGES
    -0.58
    POSITIVE LOGITS
    aton
    1.18
    hma
    1.11
    eling
    1.09
    ppel
    1.08
    jriwal
    1.07
    SPA
    1.07
    efe
    1.05
    ptic
    1.04
    iji
    1.02
    pler
    1.02
    Activations Density 0.019%

    No Known Activations