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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    mentions related to the term "Hut", including specific references to "Pizza Hut" and individuals with surnames containing "Hut" or similar phonetic variations

    oai_token-act-pair · gpt-3.5-turbo

    references to the 'Hut' brand, particularly Pizza Hut, and associated terms

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

    No Comments

    Negative Logits
     breath
    -0.75
     UNIVERS
    -0.69
     intensive
    -0.64
    NetMessage
    -0.64
    odore
    -0.64
    ictions
    -0.62
     Hague
    -0.62
     psychiat
    -0.60
     mine
    -0.60
     Karin
    -0.60
    POSITIVE LOGITS
    chens
    1.09
    cheon
    1.02
     Hut
    0.96
    masters
    0.94
    ches
    0.92
    nik
    0.92
    rolet
    0.88
    illard
    0.84
    chery
    0.83
    gers
    0.82
    Activations Density 0.011%

    No Known Activations