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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    references to the programming language Python

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Python programming language

    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
    itage
    -0.72
    =]
    -0.71
    ellen
    -0.71
    ges
    -0.68
    hoff
    -0.67
    haar
    -0.67
    veh
    -0.66
    ijk
    -0.66
    hart
    -0.64
     Rockefeller
    -0.64
    POSITIVE LOGITS
     python
    1.21
    python
    1.14
    Python
    1.09
     Python
    1.04
    ython
    1.00
     Django
    1.00
    monary
    0.97
     Flask
    0.91
     pand
    0.84
     interpreter
    0.84
    Activations Density 0.012%

    No Known Activations