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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions or references to the TV show "The Apprentice."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "The Apprentice" and its related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lag
    -0.75
    vernment
    -0.72
    TeX
    -0.70
    URI
    -0.64
     parked
    -0.61
     McCull
    -0.60
    ingu
    -0.60
    oS
    -0.59
    torn
    -0.59
    sql
    -0.59
    POSITIVE LOGITS
     Apprentice
    3.95
     apprentice
    2.62
     apprentices
    2.04
    rentices
    1.59
    rentice
    1.49
     Brother
    1.29
     novice
    1.27
     adept
    1.17
     pupil
    1.11
     Disciple
    1.09
    Activations Density 0.018%

    No Known Activations