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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. 1-RES-JB
    11. 3710
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    Explanations

    keywords related to the petroleum industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the petroleum industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grimm
    -0.81
     Cardinal
    -0.79
     Bear
    -0.78
    shaw
    -0.76
     Hancock
    -0.75
     Squirrel
    -0.74
     Shed
    -0.72
     Sparrow
    -0.70
     Brav
    -0.70
     Kinnikuman
    -0.69
    POSITIVE LOGITS
    roleum
    1.43
     petroleum
    1.29
     Petroleum
    1.02
     lubric
    0.96
     oil
    0.91
     fumes
    0.86
     excise
    0.84
     jelly
    0.82
     oils
    0.81
    ModLoader
    0.80
    Activations Density 0.017%

    No Known Activations