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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. 8-RES-JB
    11. 823
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    Explanations

    names of specific individuals and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals involved in legal or political matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ellison
    -0.83
     Cherokee
    -0.83
     Tasman
    -0.80
     Hawaiian
    -0.80
     Navajo
    -0.80
     Mermaid
    -0.78
    Native
    -0.77
     Clemson
    -0.75
    keyes
    -0.75
     turtles
    -0.74
    POSITIVE LOGITS
    kaya
    1.38
    ovsky
    1.25
    achev
    1.23
    kov
    1.21
     Dmit
    1.15
    sov
    1.15
     Dmitry
    1.14
    etsk
    1.14
     Mikhail
    1.13
     Lavrov
    1.13
    Activations Density 0.427%

    No Known Activations