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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. 9-RES-JB
    11. 13737
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    Explanations

    phrases related to decision-making or actions taken in a professional or official capacity

    oai_token-act-pair · gpt-3.5-turbo

    statements or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     creep
    -0.82
     funky
    -0.81
     badass
    -0.77
     landfall
    -0.77
     goofy
    -0.76
     stomp
    -0.76
     hopped
    -0.73
     tasty
    -0.73
     insanely
    -0.72
     farmland
    -0.72
    POSITIVE LOGITS
     Therefore
    1.45
     Consequently
    1.36
     Moreover
    1.36
     Nevertheless
    1.33
     However
    1.29
    Therefore
    1.26
     Hence
    1.25
     Thus
    1.22
     Accordingly
    1.21
     Nonetheless
    1.20
    Activations Density 0.555%

    No Known Activations