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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. 4-RES-JB
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    terms related to the automotive industry and semiconductors

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bah
    -0.95
    yip
    -0.90
    ividual
    -0.89
    ivas
    -0.86
    liness
    -0.85
    gs
    -0.84
    ander
    -0.81
    url
    -0.79
    chens
    -0.78
    ilts
    -0.78
    POSITIVE LOGITS
     industry
    1.00
     giants
    0.85
     enthusiast
    0.85
     automotive
    0.85
     accidents
    0.84
     accident
    0.82
     manufactures
    0.82
     engineering
    0.81
     manufacturer
    0.81
     enthusiasts
    0.80
    Activations Density 0.023%

    No Known Activations