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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. 15422
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    specific names and titles associated with people and organizations

    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
     Colossus
    -0.63
     idiots
    -0.63
     partying
    -0.62
     subsistence
    -0.62
     ultras
    -0.60
     bullshit
    -0.59
     audiences
    -0.59
     underwater
    -0.58
     paradise
    -0.58
     Oprah
    -0.58
    POSITIVE LOGITS
    ansky
    1.13
    atz
    1.08
    owski
    1.02
    elman
    1.01
    enberg
    1.01
    acci
    1.01
    gaard
    1.01
    chini
    1.01
    ovsky
    1.00
    inski
    1.00
    Activations Density 0.655%

    No Known Activations