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

    mentions of oil production and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of oil production and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wong
    -0.77
     Vick
    -0.75
    UTH
    -0.75
     Hubbard
    -0.72
    Interstitial
    -0.72
     Kubrick
    -0.70
     Hopkins
    -0.69
     Manny
    -0.69
    onym
    -0.69
    Witness
    -0.69
    POSITIVE LOGITS
     exports
    1.05
     stockp
    0.96
     exporting
    0.91
     quotas
    0.91
     shipments
    0.90
     holdings
    0.89
     plantations
    0.88
     coal
    0.87
     reserves
    0.87
     oil
    0.85
    Activations Density 0.550%

    No Known Activations