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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. 1-RES-JB
    11. 24288
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    Explanations

    references to coding or programming

    oai_token-act-pair · gpt-3.5-turbo

    references to coding and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     bour
    -0.69
    Mobil
    -0.69
    bury
    -0.68
     istg
    -0.66
    Ul
    -0.65
     Dob
    -0.65
     Mutual
    -0.64
     Vaugh
    -0.63
    toggle
    -0.63
     Bru
    -0.63
    POSITIVE LOGITS
     coding
    1.29
     coded
    1.15
    anguage
    0.89
    oded
    0.88
     codes
    0.87
    oding
    0.86
    otle
    0.85
     code
    0.79
    encies
    0.78
    urated
    0.74
    Activations Density 0.008%

    No Known Activations