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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. 5-RES-JB
    6. 5171
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    INDEX
    Explanations

    terms related to scientific research methods

    oai_token-act-pair · gpt-3.5-turbo

    numerical and statistical data related to research study methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mund
    -0.72
     rooft
    -0.71
    Redditor
    -0.70
     freel
    -0.69
     bunker
    -0.67
     lett
    -0.67
     upstairs
    -0.67
     Goth
    -0.66
     stomp
    -0.66
     booze
    -0.66
    POSITIVE LOGITS
    RESULTS
    1.11
    Discussion
    1.08
    Acknowled
    1.06
    References
    1.05
    TABLE
    1.04
    Figure
    1.01
    Abstract
    0.96
    FIG
    0.95
    Results
    0.94
    Introduction
    0.93
    Activations Density 0.297%

    No Known Activations