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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. 11-RES-JB
    11. 21630
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    Explanations

    phrases instructing or advising caution, vigilance, and awareness

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing caution and the importance of being proactive

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Landing
    -0.69
     Deaths
    -0.68
     Frie
    -0.66
    olesterol
    -0.65
     Dock
    -0.62
     Plate
    -0.62
     Inher
    -0.61
    orsi
    -0.61
     viz
    -0.60
     Folk
    -0.60
    POSITIVE LOGITS
     mindful
    1.37
     careful
    1.37
     vigilant
    1.33
     proactive
    1.27
     cautious
    1.26
     diligent
    1.20
     wary
    1.15
     attentive
    1.11
     patient
    1.10
     honest
    1.09
    Activations Density 0.127%

    No Known Activations