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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. 17770
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    Explanations

    Biblical references and terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the Bible and religious contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ials
    -0.79
    olulu
    -0.79
    govtrack
    -0.79
    nesota
    -0.77
    llular
    -0.77
    ickr
    -0.75
    mentation
    -0.73
    rha
    -0.71
    ourning
    -0.70
    phy
    -0.70
    POSITIVE LOGITS
     verse
    0.97
     Verse
    0.96
     prophecy
    0.95
     literal
    0.93
     verses
    0.92
     scriptures
    0.87
     Belt
    0.86
     Commentary
    0.84
     texts
    0.84
     passages
    0.83
    Activations Density 0.045%

    No Known Activations