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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. 16371
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    Explanations

    phrases related to critiques or evaluations of various depictions or portrayals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to critical analysis and evaluation of representations or portrayals in media and historical contexts

    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
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    Negative Logits
     baking
    -0.56
     landowners
    -0.52
    bees
    -0.51
     evac
    -0.51
    RESULTS
    -0.51
    HQ
    -0.50
     storage
    -0.50
    ELL
    -0.49
    enegger
    -0.49
    storage
    -0.48
    POSITIVE LOGITS
     thereof
    1.37
     of
    1.24
     Of
    1.01
    of
    1.00
     OF
    0.94
    Of
    0.93
    OF
    0.74
    xual
    0.69
     largeDownload
    0.68
     Flavoring
    0.67
    Activations Density 0.370%

    No Known Activations