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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. 23814
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    Explanations

    words related to architecture or specific structures

    oai_token-act-pair · gpt-3.5-turbo

    substrings or segments of text that represent characteristics of language or identity

    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
     Mush
    -0.68
    xtap
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     advis
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     fung
    -0.65
     Bots
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     otherwise
    -0.62
    cloud
    -0.59
    ãĤ©
    -0.59
     QC
    -0.58
    bilt
    -0.58
    POSITIVE LOGITS
    agos
    0.92
    arian
    0.88
    ucl
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    ishops
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    arians
    0.77
    arius
    0.74
    ular
    0.74
    edes
    0.73
    inal
    0.73
    ida
    0.72
    Activations Density 0.167%

    No Known Activations