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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. 11-RES-JB
    11. 5982
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    Explanations

    mentions of tragic and violent events, such as shootings and killings

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iets
    -0.80
    soDeliveryDate
    -0.65
     marketers
    -0.62
    ichick
    -0.61
     Transcript
    -0.61
    é¾įå¥ij士
    -0.60
    Future
    -0.59
     Topics
    -0.59
    ãĥ¼ãĥĨ
    -0.58
     Transactions
    -0.58
    POSITIVE LOGITS
     died
    1.82
     perished
    1.67
     killed
    1.49
     murdered
    1.45
     assassinated
    1.45
     gunned
    1.40
     succumbed
    1.40
     dies
    1.39
     drowned
    1.38
     fatally
    1.36
    Activations Density 0.386%

    No Known Activations