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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1766
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    Explanations

    words related to locations

    oai_token-act-pair · gpt-3.5-turbo

    title-like phrases or names associated with creative works, events, or characters

    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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    Negative Logits
     certific
    -0.74
     impair
    -0.72
     eligible
    -0.71
     qualifying
    -0.71
     protective
    -0.70
     parity
    -0.69
     compliance
    -0.69
     engineering
    -0.68
     disapproval
    -0.68
     ammon
    -0.68
    POSITIVE LOGITS
     Trilogy
    1.37
     Principle
    1.19
     Room
    1.13
     Prophe
    1.12
     Incident
    1.11
     Boys
    1.09
     Begins
    1.09
     Podcast
    1.08
     Collection
    1.07
     Brigade
    1.07
    Activations Density 0.283%

    No Known Activations