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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. 12-RES-JB
    11. 4930
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    Explanations

    text related to programming languages and frameworks, particularly focusing on Haskell and web development

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    specific references to works and authors in academic discussions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bucks
    -0.71
     curtains
    -0.69
     TMZ
    -0.63
     wearer
    -0.62
    addons
    -0.62
     whim
    -0.59
     crest
    -0.59
     locals
    -0.58
    twitch
    -0.58
     ferry
    -0.58
    POSITIVE LOGITS
    Abstract
    1.17
     Abstract
    1.13
     Proceedings
    1.10
     Lect
    1.09
     Introduction
    1.09
     Philosophy
    1.06
    doi
    1.05
     ISBN
    1.05
     Edited
    1.04
    Introduction
    1.01
    Activations Density 0.619%

    No Known Activations