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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. 10-RES-JB
    11. 7234
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    Explanations

    references to people or entities that are well-known or respected

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    INTON
    -0.59
     RELEASE
    -0.55
     sources
    -0.55
    士
    -0.55
     coron
    -0.54
     balcon
    -0.54
     isol
    -0.54
     Procedures
    -0.53
    INA
    -0.53
     Sources
    -0.52
    POSITIVE LOGITS
    liest
    1.29
     of
    0.94
    lihood
    0.84
    creen
    0.77
    lier
    0.76
    liness
    0.76
    paces
    0.75
     thereof
    0.75
    minded
    0.74
    hots
    0.70
    Activations Density 0.019%

    No Known Activations