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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. 23987
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    INDEX
    Explanations

    phrases related to physiological processes or bodily functions

    oai_token-act-pair · gpt-3.5-turbo

    elements of a cause-and-effect relationship in scientific or observational 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
    abouts
    -0.86
    ©¶æ
    -0.74
    izen
    -0.70
    spection
    -0.69
    raph
    -0.65
    chal
    -0.64
    quished
    -0.63
    ominated
    -0.61
    quartered
    -0.60
    usp
    -0.59
    POSITIVE LOGITS
     causing
    1.52
     allowing
    1.31
     thereby
    1.30
     forcing
    1.27
     resulting
    1.25
     creating
    1.25
     preventing
    1.25
     exacerb
    1.23
     enabling
    1.22
     reducing
    1.20
    Activations Density 0.311%

    No Known Activations