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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. 17126
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    Explanations

    dates mentioned with historical events

    oai_token-act-pair · gpt-3.5-turbo

    specific dates or timestamps in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ãĥIJ
    -0.63
    ennes
    -0.62
    soDeliveryDate
    -0.60
     respectively
    -0.58
    RL
    -0.58
    Export
    -0.57
     oblig
    -0.56
    :/
    -0.56
    ̶
    -0.56
    EngineDebug
    -0.55
    POSITIVE LOGITS
    slaught
    1.28
    ward
    1.13
    wards
    1.10
    look
    1.05
     occasion
    1.03
    etime
    1.00
     Wednesday
    0.99
     behalf
    0.99
     Tuesday
    0.97
    assis
    0.97
    Activations Density 0.056%

    No Known Activations