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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. 3638
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    Explanations

    keywords related to programming syntax and code structure

    oai_token-act-pair · gpt-3.5-turbo

    technical terminology related to formatting and syntax in programming

    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
    76561
    -0.88
    HCR
    -0.87
    iscons
    -0.80
    communications
    -0.79
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    POSITIVE LOGITS
     syntax
    1.16
     formatting
    1.09
     parsing
    1.06
     filtering
    1.05
     delim
    1.04
     interpol
    1.02
     filter
    1.01
     strings
    1.00
     nesting
    1.00
     comma
    0.99
    Activations Density 0.313%

    No Known Activations