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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. 11-RES-JB
    11. 6605
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    Explanations

    names of individuals in a professional or academic context

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles of individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addons
    -0.78
     haul
    -0.71
     blurry
    -0.70
    netflix
    -0.70
    aways
    -0.70
     poaching
    -0.69
     corrid
    -0.69
     scraps
    -0.69
    liners
    -0.68
     scenes
    -0.67
    POSITIVE LOGITS
     Associate
    1.47
     Chair
    1.47
     Professor
    1.42
     Director
    1.37
     MPH
    1.36
     PhD
    1.35
     Assistant
    1.31
     Senior
    1.30
    Professor
    1.30
    Director
    1.24
    Activations Density 0.201%

    No Known Activations