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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. 3-RES-JB
    11. 15900
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    Explanations

    references to the programming language C++

    oai_token-act-pair · gpt-3.5-turbo

    references to the C++ programming language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     metic
    -0.66
    otrop
    -0.64
     Held
    -0.64
     Starr
    -0.63
    mares
    -0.62
     Haunted
    -0.62
    otropic
    -0.62
    gren
    -0.61
     Wink
    -0.61
     Gren
    -0.61
    POSITIVE LOGITS
    ++
    0.97
    reference
    0.87
    +.
    0.77
    +)
    0.73
    avascript
    0.71
    arser
    0.70
    +,
    0.70
    ICT
    0.68
     interpreter
    0.67
    API
    0.67
    Activations Density 0.017%

    No Known Activations