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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. 8-RES-JB
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    Explanations

    mentions of the commodity "oil."

    oai_token-act-pair · gpt-3.5-turbo

    references to the oil industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    enance
    -1.00
    HCR
    -0.75
    rons
    -0.73
    oldemort
    -0.72
    RON
    -0.72
    ulhu
    -0.72
    âĸ¬
    -0.71
     Rowling
    -0.70
    IENCE
    -0.68
    blance
    -0.67
    POSITIVE LOGITS
     sands
    1.17
    seed
    1.14
     slic
    1.00
     oil
    0.97
     tanker
    0.94
     shocks
    0.93
    price
    0.90
     spills
    0.89
     drilling
    0.88
     spill
    0.87
    Activations Density 0.029%

    No Known Activations