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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. 24241
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    Explanations

    references or mentions of specific universities, particularly Oxford University

    oai_token-act-pair · gpt-3.5-turbo

    references to prestigious universities, particularly Oxford and Cambridge

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     quo
    -0.84
    lyak
    -0.75
    venge
    -0.75
    inventoryQuantity
    -0.74
    rill
    -0.73
    ++++++++++++++++
    -0.70
    lein
    -0.70
    ++++++++
    -0.67
    luster
    -0.67
    vana
    -0.65
    POSITIVE LOGITS
    shire
    1.61
     University
    1.00
     Circus
    0.96
     comma
    0.85
    bridge
    0.84
     Analy
    0.81
     Oxford
    0.80
     Universities
    0.79
     Teaching
    0.77
     Square
    0.76
    Activations Density 0.033%

    No Known Activations