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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. 10-RES-JB
    11. 12411
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    Explanations

    phrases related to a series of events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to a series of negative events or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rium
    -0.78
    toc
    -0.73
    vantage
    -0.73
    ipedia
    -0.72
    ilty
    -0.71
    gypt
    -0.71
    inity
    -0.70
    imeter
    -0.69
    jad
    -0.69
    urden
    -0.69
    POSITIVE LOGITS
     incidents
    1.51
     setbacks
    1.48
     scandals
    1.38
     controversies
    1.34
     occasions
    1.29
     accidents
    1.29
     attempts
    1.27
     disasters
    1.27
     failures
    1.27
     crises
    1.26
    Activations Density 0.267%

    No Known Activations