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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. 0-RES-JB
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    references to angels

    oai_token-act-pair · gpt-3.5-turbo

    references to "angels" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Py
    -0.79
    lihood
    -0.78
    Repe
    -0.76
    WP
    -0.75
     Fisheries
    -0.73
     Struggle
    -0.71
     Fishing
    -0.70
     Cob
    -0.70
     Wide
    -0.69
    Wars
    -0.69
    POSITIVE LOGITS
     angel
    3.69
     angels
    3.04
    angel
    2.20
    Angel
    1.66
     ANGEL
    1.61
     Archangel
    1.44
     heavenly
    1.31
     Angels
    1.30
     Angel
    1.25
     saints
    1.23
    Activations Density 0.025%

    No Known Activations