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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 10322
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    Explanations

    terms related to the automotive industry

    oai_token-act-pair · gpt-3.5-turbo

    industry-specific terms related to automotive, oil, gas, pharmaceuticals, and electronics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itud
    -0.76
    urat
    -0.76
     Technique
    -0.75
     Template
    -0.69
    olon
    -0.67
    amaru
    -0.67
     Procedure
    -0.66
     recess
    -0.66
    romptu
    -0.66
    rehend
    -0.65
    POSITIVE LOGITS
     industry
    1.68
     companies
    1.48
     industries
    1.45
    indust
    1.33
     firms
    1.31
     manufacturers
    1.31
     retailer
    1.27
     Industry
    1.24
     giants
    1.23
     company
    1.22
    Activations Density 0.425%

    No Known Activations