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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. 10-RES-JB
    11. 7930
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    Explanations

    keywords related to coding syntax, particularly focusing on access modifiers and data types

    oai_token-act-pair · gpt-3.5-turbo

    code-related keywords associated with visibility and access modifiers in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    grain
    -0.79
    oil
    -0.78
    uits
    -0.77
    won
    -0.77
    orsi
    -0.77
    wig
    -0.76
    angs
    -0.76
    utic
    -0.74
    geist
    -0.73
    ngth
    -0.73
    POSITIVE LOGITS
     bool
    1.19
     void
    1.16
     boolean
    1.15
     static
    1.04
     enum
    0.97
     async
    0.97
     override
    0.93
     String
    0.92
     int
    0.88
     Array
    0.86
    Activations Density 0.024%

    No Known Activations