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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. 11-RES-JB
    6. 8043
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    INDEX
    Explanations

    scientific studies, research findings, and academic papers

    oai_token-act-pair · gpt-3.5-turbo

    academic research and analyses of literary works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mute
    -0.56
     retaliate
    -0.53
    boss
    -0.52
    zz
    -0.51
    engers
    -0.51
    ansas
    -0.51
     wink
    -0.50
    Shop
    -0.50
    stop
    -0.49
    bucks
    -0.49
    POSITIVE LOGITS
     methodological
    1.19
     empirical
    1.11
     analyses
    1.07
     observational
    1.03
    doi
    1.03
     hypotheses
    1.02
    Abstract
    1.01
     studies
    1.01
    Study
    1.00
     study
    0.99
    Activations Density 0.668%

    No Known Activations