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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. 9-RES-JB
    11. 23424
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    Explanations

    references to the oil and gas industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of oil and related industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.98
    oldemort
    -0.80
    ulhu
    -0.73
    HCR
    -0.73
    rons
    -0.72
    âĸ¬
    -0.70
     Ambro
    -0.70
     Rowling
    -0.70
     Gadget
    -0.69
    RON
    -0.68
    POSITIVE LOGITS
     sands
    1.19
    seed
    1.18
     slic
    1.09
     tanker
    0.94
     spills
    0.92
     drilling
    0.91
     oil
    0.91
     spill
    0.90
     refinery
    0.90
    price
    0.87
    Activations Density 0.040%

    No Known Activations