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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. 11-RES-JB
    11. 6735
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    Explanations

    code snippets, specifically related to iterators and strings

    oai_token-act-pair · gpt-3.5-turbo

    programming language syntax related to template classes and type parameters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kefeller
    -0.82
     Curiosity
    -0.74
    abouts
    -0.72
     Osiris
    -0.72
     Mubarak
    -0.70
     Karma
    -0.70
     Herrera
    -0.69
     Hutch
    -0.66
     Zar
    -0.66
    borough
    -0.66
    POSITIVE LOGITS
     unsigned
    1.33
     uint
    1.32
     std
    1.31
     char
    1.31
    std
    1.29
    unsigned
    1.27
     int
    1.24
    void
    1.23
     bool
    1.23
     void
    1.22
    Activations Density 0.109%

    No Known Activations