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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 10366
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    questions and phrases indicating importance or significance

    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
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    No Comments

    Negative Logits
     scrap
    -0.75
     imperson
    -0.74
     replacements
    -0.70
     prosec
    -0.69
     decorations
    -0.67
     stunts
    -0.67
     outlaw
    -0.66
     bots
    -0.66
     curves
    -0.66
     brunt
    -0.66
    POSITIVE LOGITS
    ³³³³³³³³
    1.59
    Posted
    1.50
    ³³³³³³³³³³³³³³³³
    1.48
    ³³³
    1.48
    ³³³³
    1.44
    Introduction
    1.41
    ³³
    1.38
    Overview
    1.32
    Welcome
    1.30
    posted
    1.29
    Activations Density 0.232%

    No Known Activations