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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. 3-RES-JB
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    Explanations

    mentions of specific oil companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of oil and gas companies and related industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ydia
    -0.91
    quickShipAvailable
    -0.87
    etime
    -0.75
     "$:/
    -0.73
     {\
    -0.73
    sym
    -0.72
    ubuntu
    -0.70
    pmwiki
    -0.70
    imental
    -0.69
    blance
    -0.69
    POSITIVE LOGITS
     wastewater
    0.92
     plantations
    0.90
     headquartered
    0.87
     executives
    0.84
     lobbyists
    0.82
     lobbyist
    0.82
     stockp
    0.81
     mogul
    0.81
     divest
    0.78
     subsidiaries
    0.78
    Activations Density 0.135%

    No Known Activations