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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. 20181
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    Explanations

    references to the city of Calgary

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Calgary Flames hockey team

    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
    tons
    -0.71
    tta
    -0.70
    ini
    -0.70
    worm
    -0.70
     worms
    -0.70
     drift
    -0.68
    anto
    -0.67
     Faust
    -0.66
    aiman
    -0.66
    ione
    -0.64
    POSITIVE LOGITS
     Calgary
    3.70
     Alberta
    2.09
     Winnipeg
    1.97
     Edmonton
    1.93
     Flames
    1.92
     Ottawa
    1.78
     Brisbane
    1.77
     Toronto
    1.73
     Vancouver
    1.72
    Toronto
    1.67
    Activations Density 0.024%

    No Known Activations