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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. 7-RES-JB
    11. 18629
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation and specific terms related to legal or regulatory contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     realised
    -0.77
     excited
    -0.75
     bullish
    -0.74
     hype
    -0.71
    omics
    -0.70
     upbeat
    -0.69
    arbon
    -0.69
     teaser
    -0.69
     cereal
    -0.69
    culus
    -0.68
    POSITIVE LOGITS
     Therefore
    1.07
     Accordingly
    1.07
     Additionally
    1.06
     Meaning
    1.05
     Furthermore
    1.00
     Restrict
    0.97
     However
    0.97
     Amnesty
    0.96
     Procedures
    0.96
     Rules
    0.95
    Activations Density 0.664%

    No Known Activations