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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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    Explanations

    references to governmental entities, specifically provinces

    oai_token-act-pair · gpt-3.5-turbo

    references to provincial governance or entities

    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
     ATL
    -0.69
    iggs
    -0.69
    space
    -0.64
    load
    -0.63
     Flow
    -0.62
     Gear
    -0.62
    zilla
    -0.62
    arth
    -0.62
     Enhancement
    -0.62
     powered
    -0.61
    POSITIVE LOGITS
     provincial
    3.73
     Provincial
    2.89
     province
    2.45
     provinces
    2.41
    incial
    2.14
     Province
    1.92
     Manitoba
    1.79
     Ontario
    1.67
     Alberta
    1.66
     Saskatchewan
    1.60
    Activations Density 0.012%

    No Known Activations