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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. 2-RES-JB
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    contexts related to programming

    oai_token-act-pair · gpt-3.5-turbo

    references to programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vol
    -0.96
    ous
    -0.88
     Fiat
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    ously
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    va
    -0.67
     supra
    -0.64
     vol
    -0.64
    ãģ®éŃĶ
    -0.62
    same
    -0.62
     Hum
    -0.62
    POSITIVE LOGITS
    matically
    1.02
     programming
    0.94
     languages
    0.88
    eering
    0.87
     Languages
    0.87
    mable
    0.85
    matic
    0.83
    isphere
    0.82
     Programming
    0.81
     chops
    0.79
    Activations Density 0.007%

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