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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. 3-RES-JB
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    terms related to the automotive industry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the automotive industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    yip
    -0.94
    glers
    -0.83
    rss
    -0.81
    ylum
    -0.80
    ividual
    -0.74
    tle
    -0.74
    chery
    -0.73
    romeda
    -0.72
    olulu
    -0.72
    eworthy
    -0.72
    POSITIVE LOGITS
     dealership
    0.98
     manufacturer
    0.93
     automobile
    0.92
     accident
    0.88
     garage
    0.87
     automotive
    0.87
     manufacturers
    0.85
    otive
    0.85
     accidents
    0.84
     giants
    0.81
    Activations Density 0.014%

    No Known Activations