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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. 12-RES-JB
    6. 5019
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    INDEX
    Explanations

    language related to online comments and engagement

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

    requests for audience engagement through comments

    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
    ãĥ©ãĥ³
    -0.72
     ç¥ŀ
    -0.69
    onte
    -0.65
     Alic
    -0.64
     Nieto
    -0.63
    »Ĵ
    -0.63
     paternity
    -0.63
    ccording
    -0.62
    Commercial
    -0.61
     Canad
    -0.61
    POSITIVE LOGITS
     section
    1.76
     sections
    1.39
     box
    1.28
     tab
    1.26
     pane
    1.24
     thread
    1.21
     subsection
    1.18
    section
    1.18
     page
    1.15
     folder
    1.15
    Activations Density 0.167%

    No Known Activations