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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. 8-RES-JB
    6. 6542
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    Explanations

    terms related to the automotive industry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the automotive, technology, and pharmaceutical industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaru
    -0.83
    urat
    -0.80
    blance
    -0.76
     Thoughts
    -0.70
     Howell
    -0.70
     Technique
    -0.69
    enance
    -0.69
     Presence
    -0.68
     Kessler
    -0.68
    idav
    -0.66
    POSITIVE LOGITS
     industry
    1.62
     industries
    1.40
     companies
    1.30
    indust
    1.24
     sector
    1.22
     firms
    1.15
     company
    1.13
     mogul
    1.12
     manufacturers
    1.11
     retailer
    1.11
    Activations Density 0.433%

    No Known Activations