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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. 6-RES-JB
    11. 5639
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    Explanations

    technical or analytical language

    oai_token-act-pair · gpt-3.5-turbo

    statements involving physical or statistical assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     "
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     "...
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    surprisingly
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    Published
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     ®
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    translation
    -0.57
    Requires
    -0.57
    utterstock
    -0.56
     "#
    -0.55
     «
    -0.54
    POSITIVE LOGITS
    )."
    1.36
     âĢ¦"
    1.33
     ..."
    1.30
    .'"
    1.21
    .")
    1.15
    ."
    1.10
    âĢ¦"
    1.08
    ..."
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    .""
    1.05
    ."[
    1.03
    Activations Density 1.830%

    No Known Activations