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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. 4833
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    INDEX
    Explanations

    names of individuals or specific locations mentioned in the text

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

    proper names, specifically focusing on individuals, places, and organizations

    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
    Þ
    -1.13
     millenn
    -1.11
     mosqu
    -0.96
     metic
    -0.93
    ThumbnailImage
    -0.90
    ò
    -0.89
     newsp
    -0.89
    ô
    -0.89
     enthusi
    -0.88
    ñ
    -0.87
    POSITIVE LOGITS
    ton
    1.30
    ford
    1.25
    bury
    1.25
    ston
    1.24
    wood
    1.22
    brook
    1.20
    worth
    1.20
    bourne
    1.18
    ley
    1.18
    burn
    1.18
    Activations Density 0.161%

    No Known Activations