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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. 3-RES-JB
    11. 17532
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    Explanations

    references to transportation methods like biking, jogging, and specific locations like BART and PAX

    oai_token-act-pair · gpt-3.5-turbo

    mentions of transportation and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ively
    -0.74
     Programme
    -0.63
    odka
    -0.62
     Ukrainians
    -0.61
     Xperia
    -0.61
    fal
    -0.60
     Qi
    -0.60
     showc
    -0.60
     Hague
    -0.59
    TPPStreamerBot
    -0.59
    POSITIVE LOGITS
    gress
    0.82
     BART
    0.76
    Portland
    0.76
    itial
    0.74
    keley
    0.74
    lando
    0.72
    trak
    0.71
    abouts
    0.67
    Oak
    0.67
    uct
    0.66
    Activations Density 0.016%

    No Known Activations