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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    occurrences of ceremonial events

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of ceremonies

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

    Negative Logits
    cro
    -0.70
    arling
    -0.62
     predic
    -0.62
    Il
    -0.61
    sol
    -0.61
    Tweet
    -0.61
    resp
    -0.61
     Articles
    -0.60
     Barkley
    -0.59
    poor
    -0.59
    POSITIVE LOGITS
     ceremony
    1.26
     ceremonies
    1.16
    mony
    0.87
    antry
    0.87
     Cere
    0.85
     honors
    0.85
     honoring
    0.81
     procession
    0.78
     festivities
    0.76
    naire
    0.74
    Activations Density 0.015%

    No Known Activations