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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. 4125
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    Explanations

    technical or programming jargon

    oai_token-act-pair · gpt-3.5-turbo

    tense and aspectual variations in verbs within complex sentences

    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
     Colleges
    -0.53
     Mormons
    -0.48
    htaking
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     Tours
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    Newsletter
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     occupations
    -0.46
     Canaver
    -0.46
     DeVos
    -0.45
     Mississippi
    -0.45
     astonished
    -0.45
    POSITIVE LOGITS
    Firstly
    0.56
     comprom
    0.54
    ICO
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    «ĺ
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     anyways
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    £ı
    0.52
    >.
    0.51
    !).
    0.51
    Lear
    0.51
    Discuss
    0.50
    Activations Density 1.536%

    No Known Activations