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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. 9-RES-JB
    11. 18163
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    Explanations

    programming code syntax and commands

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of code snippets or programming constructs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     judgment
    -0.67
     judgement
    -0.63
     Peterson
    -0.63
     centre
    -0.62
     Crab
    -0.62
     Dancing
    -0.62
     McF
    -0.59
     Classics
    -0.59
     Vanderbilt
    -0.59
     Bunker
    -0.58
    POSITIVE LOGITS
    Notice
    0.99
    Alternatively
    0.95
    Example
    0.89
    arta
    0.87
    then
    0.87
    Same
    0.86
    Usage
    0.84
    example
    0.83
    Similar
    0.83
    DEBUG
    0.82
    Activations Density 0.129%

    No Known Activations