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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. 6906
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    Explanations

    phrases containing scientific or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    sentences that present a definitive or conclusive statement

    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
     estate
    -0.79
     dime
    -0.78
     closet
    -0.76
    ibur
    -0.76
     reven
    -0.74
     tyr
    -0.73
     silent
    -0.73
     altar
    -0.72
     tier
    -0.72
     hating
    -0.71
    POSITIVE LOGITS
     Researchers
    1.37
     Scientists
    1.24
     Moreover
    1.14
    Researchers
    1.13
     Furthermore
    1.12
     PLoS
    1.04
     Studies
    1.04
    Scientists
    1.03
     Therefore
    1.03
     Additionally
    1.02
    Activations Density 0.421%

    No Known Activations