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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. 10-RES-JB
    6. 17868
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    INDEX
    Explanations

    references to vehicles, specifically vans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of vans and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lawy
    -0.67
     Jagu
    -0.63
     charism
    -0.62
     incorpor
    -0.60
     stride
    -0.58
    TextColor
    -0.58
     Emin
    -0.55
     Sacrament
    -0.55
     Flavoring
    -0.55
     Armen
    -0.55
    POSITIVE LOGITS
    cher
    1.04
    ulators
    0.99
    ultimate
    0.98
    ulator
    0.95
    nor
    0.93
    sel
    0.91
    mers
    0.91
    der
    0.89
    ting
    0.89
    puter
    0.89
    Activations Density 0.399%

    No Known Activations