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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. 5-RES-JB
    6. 5982
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    INDEX
    Explanations

    phrases related to individual professions or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to career milestones or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lumpur
    -0.71
     ease
    -0.65
     liquids
    -0.58
    thia
    -0.57
    egg
    -0.57
     Ing
    -0.56
     liquidity
    -0.56
    ractive
    -0.56
    perse
    -0.56
     Grimes
    -0.55
    POSITIVE LOGITS
     abroad
    0.83
     overseas
    0.81
    span
    0.80
     predec
    0.79
    wcs
    0.79
    enegger
    0.79
    ixtape
    0.77
    advertising
    0.77
    é¾įåĸļ士
    0.74
    CTV
    0.73
    Activations Density 0.019%

    No Known Activations