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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
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to trade and export activities

    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
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    Negative Logits
    ongevity
    -0.90
    sych
    -0.87
     dementia
    -0.83
     Jury
    -0.82
     Darrell
    -0.82
     Fitness
    -0.81
     Mental
    -0.80
     Personality
    -0.80
     Psychiat
    -0.80
     Cognitive
    -0.79
    POSITIVE LOGITS
     exports
    2.07
     imports
    1.94
     shipments
    1.90
     export
    1.87
     shipment
    1.72
     exported
    1.70
     exporting
    1.66
    export
    1.64
     import
    1.59
     Export
    1.52
    Activations Density 0.795%

    No Known Activations