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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. 6-RES-JB
    11. 9835
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    Explanations

    programming terms and code snippets, particularly related to functions and classes

    oai_token-act-pair · gpt-3.5-turbo

    code structure and declarations in programming language syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aea
    -0.86
    esville
    -0.84
    aston
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    grain
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    Magikarp
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    76561
    -0.74
    won
    -0.74
    aiman
    -0.74
    wig
    -0.73
    OIL
    -0.73
    POSITIVE LOGITS
     bool
    0.99
     enum
    0.96
     fn
    0.94
     func
    0.89
     std
    0.87
     void
    0.87
     __
    0.81
     static
    0.81
     Array
    0.80
     init
    0.79
    Activations Density 0.041%

    No Known Activations