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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. 0-RES-JB
    6. 11505
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    INDEX
    Explanations

    industry-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eus
    -0.81
    imus
    -0.81
    anus
    -0.76
     summons
    -0.66
    Spawn
    -0.65
     Spells
    -0.64
     $(
    -0.64
    Done
    -0.63
    İĭ
    -0.62
     Removed
    -0.61
    POSITIVE LOGITS
     industry
    3.60
     Industry
    2.74
    indust
    2.63
     industries
    2.45
    Indust
    1.90
     sector
    1.71
     companies
    1.52
     enterprise
    1.43
    Companies
    1.42
     manufacturers
    1.41
    Activations Density 0.024%

    No Known Activations