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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. 11-RES-JB
    11. 12003
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    Explanations

    references to governmental or administrative terms like specific countries or agreements

    oai_token-act-pair · gpt-3.5-turbo

    references to federal entities and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    red
    -0.65
    ĵĺ
    -0.62
     Irvine
    -0.62
    ffe
    -0.61
    ffer
    -0.61
     spur
    -0.60
     Heller
    -0.59
     fright
    -0.59
    URN
    -0.59
     Murdoch
    -0.58
    POSITIVE LOGITS
    icans
    1.44
    ics
    1.39
    ica
    1.28
    ique
    1.27
    ican
    1.23
    ators
    1.21
    ico
    1.21
    iques
    1.18
    osity
    1.17
    ical
    1.17
    Activations Density 0.081%

    No Known Activations