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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. 15918
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    Explanations

    names, specifically those related to French and Spanish individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or references to people

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iary
    -0.89
    oky
    -0.82
    20439
    -0.80
    ipt
    -0.78
    ividual
    -0.76
    iqueness
    -0.75
    oodle
    -0.74
    ramid
    -0.74
    dream
    -0.74
    iating
    -0.73
    POSITIVE LOGITS
     Hollande
    1.06
     Franco
    0.99
     Francois
    0.90
     Dres
    0.88
     fries
    0.80
    ugal
    0.77
     François
    0.76
    bourg
    0.75
    olini
    0.72
    furt
    0.72
    Activations Density 0.021%

    No Known Activations