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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. 6-RES-JB
    6. 21191
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    INDEX
    Explanations

    mentions of academic institutions and professional roles

    oai_token-act-pair · gpt-3.5-turbo

    references to professional roles and affiliations in academia and publishing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utterstock
    -0.78
    ettel
    -0.65
     Tories
    -0.64
     Canaver
    -0.62
    osen
    -0.62
    */(
    -0.59
     jurors
    -0.59
     brut
    -0.58
    lopp
    -0.58
     Britons
    -0.57
    POSITIVE LOGITS
    Includes
    0.67
     collegiate
    0.61
     award
    0.61
     respectively
    0.60
    arsity
    0.60
    bilt
    0.59
    ocument
    0.58
     instructional
    0.58
     educational
    0.57
     Colleg
    0.57
    Activations Density 1.518%

    No Known Activations