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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. 2369
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    INDEX
    Explanations

    emotional words and phrases that discuss complex concepts related to psychology, statistics, technology, and social issues

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

    keywords related to technology, health, and different types of testing or methods used in various fields

    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
     Hills
    -0.70
     blond
    -0.64
     Sebast
    -0.64
     Mississ
    -0.62
     Shore
    -0.61
     Alam
    -0.60
     Tub
    -0.60
     Inn
    -0.60
     Jama
    -0.60
     Sister
    -0.58
    POSITIVE LOGITS
    afety
    1.53
    etting
    1.34
    ystem
    1.24
    mith
    1.24
    paces
    1.18
    ynthesis
    1.17
    chool
    1.16
    igning
    1.13
    peed
    1.11
    earch
    1.11
    Activations Density 0.513%

    No Known Activations