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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. 3134
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to instructional or procedural content

    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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    ereo
    -0.69
    wcsstore
    -0.68
    soType
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    uez
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    ovan
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    ween
    -0.61
    mouth
    -0.60
     receipt
    -0.59
     gamble
    -0.59
     vandal
    -0.58
    POSITIVE LOGITS
    chapter
    1.32
    Introduction
    1.28
     Chapters
    1.28
    Chapter
    1.26
     exposition
    1.26
     Introduction
    1.23
     Topics
    1.20
     chapters
    1.20
     introductory
    1.18
     summar
    1.15
    Activations Density 1.307%

    No Known Activations