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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to the city of Jerusalem

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Jerusalem

    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
     Briggs
    -0.73
    fg
    -0.70
    lass
    -0.67
     Skinner
    -0.65
     Jackets
    -0.63
    isher
    -0.62
     cou
    -0.62
    atch
    -0.60
    orter
    -0.59
    ota
    -0.58
    POSITIVE LOGITS
     Jerusalem
    3.93
    usalem
    2.38
     Palestine
    2.00
     Bethlehem
    1.85
     Juda
    1.81
     Israel
    1.80
    Israel
    1.76
    Jer
    1.75
     Judah
    1.67
    Palestinian
    1.65
    Activations Density 0.009%

    No Known Activations