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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. 2-RES-JB
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    Explanations

    references to the oil and gas industry

    oai_token-act-pair · gpt-3.5-turbo

    references to the oil and gas industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.97
    rons
    -0.86
    RON
    -0.86
    é¾įå
    -0.74
    EMBER
    -0.71
     Inv
    -0.70
    âĸ¬
    -0.70
     Prob
    -0.70
     Hodg
    -0.70
     Visitors
    -0.69
    POSITIVE LOGITS
     oil
    1.12
     slic
    1.06
    seed
    1.05
    Oil
    0.96
     Oil
    0.94
    oil
    0.89
     sands
    0.87
     tanker
    0.86
     refining
    0.84
     spills
    0.83
    Activations Density 0.019%

    No Known Activations