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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
    11. 20845
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    Explanations

    keywords related to petroleum production and industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of oil and gas production

    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
    cknowled
    -0.81
    nee
    -0.78
    laus
    -0.73
    olulu
    -0.71
    pher
    -0.69
     Brow
    -0.67
    lit
    -0.66
    igmat
    -0.66
    POSE
    -0.65
    TIT
    -0.65
    POSITIVE LOGITS
     quotas
    0.97
     output
    0.82
     exporting
    0.80
     production
    0.78
     capacity
    0.78
     productivity
    0.77
     exports
    0.77
     Production
    0.74
     capacities
    0.74
     goods
    0.74
    Activations Density 0.033%

    No Known Activations