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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. 10-RES-JB
    11. 21381
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    Explanations

    The neuron is primarily looking for mentions of scientific concepts or topics

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific concepts, evidence, and research

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zik
    -0.78
    uty
    -0.76
    atra
    -0.74
    coni
    -0.72
    uble
    -0.69
    wic
    -0.66
    stra
    -0.63
    matched
    -0.61
    wait
    -0.61
     istg
    -0.61
    POSITIVE LOGITS
     literacy
    0.96
     research
    0.94
     curiosity
    0.91
     breakthrough
    0.90
     fiction
    0.90
     misconduct
    0.89
     advancements
    0.89
     studies
    0.88
     discoveries
    0.87
    Reference
    0.86
    Activations Density 0.035%

    No Known Activations