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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. 3720
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    Explanations

    sentence starters

    oai_token-act-pair · gpt-3.5-turbo

    instances of transitional phrases that indicate location or context

    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
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    Negative Logits
     âĢº
    -0.63
     Mate
    -0.61
     ¶
    -0.57
     Fer
    -0.56
     Skydragon
    -0.56
     Anon
    -0.56
     Balk
    -0.55
     Toledo
    -0.55
     Rodrig
    -0.55
     '
    -0.55
    POSITIVE LOGITS
    yrinth
    0.77
    hesda
    0.76
    :(
    0.73
    swers
    0.73
    jriwal
    0.72
    roximately
    0.72
    agonist
    0.72
    Kids
    0.71
    Bet
    0.71
    quarters
    0.69
    Activations Density 0.109%

    No Known Activations