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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
    11. 16922
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    Explanations

    references to or mentions of Canadians

    oai_token-act-pair · gpt-3.5-turbo

    references to Canadians and their experiences or issues

    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
     master
    -0.69
    NER
    -0.68
    ner
    -0.63
    master
    -0.59
     sandbox
    -0.57
    ding
    -0.57
     chain
    -0.57
    ler
    -0.55
     boss
    -0.55
    ICLE
    -0.55
    POSITIVE LOGITS
     Canadians
    3.59
     Australians
    2.87
     Britons
    2.30
     Americans
    2.28
    Americans
    1.95
     Ukrainians
    1.85
     Venezuel
    1.84
     Iraqis
    1.83
    Austral
    1.82
     Italians
    1.77
    Activations Density 0.023%

    No Known Activations