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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. 11-RES-JB
    11. 22122
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    Explanations

    software development-related terms, specifically related to tools and processes like parsers, generators, managers, analyzers, builders, handlers, and indicators

    oai_token-act-pair · gpt-3.5-turbo

    software-related terminology and components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ori
    -0.86
    panic
    -0.77
    SIZE
    -0.76
    edu
    -0.76
    76561
    -0.74
    olitan
    -0.72
    OVER
    -0.69
    equality
    -0.69
    éĽ
    -0.68
    illard
    -0.68
    POSITIVE LOGITS
     extraord
    1.35
    oute
    0.92
     plugin
    0.91
     tool
    0.90
     kit
    0.84
     addon
    0.80
     droid
    0.79
     mechanism
    0.79
     beware
    0.79
     cartridges
    0.78
    Activations Density 0.254%

    No Known Activations