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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. 3-RES-JB
    11. 15380
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    Explanations

    technology and gaming-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to gaming and racing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arians
    -0.81
    terday
    -0.79
    ows
    -0.75
    onyms
    -0.73
    opic
    -0.72
    chrom
    -0.70
    ellen
    -0.68
    onym
    -0.68
    sheets
    -0.67
    abeth
    -0.67
    POSITIVE LOGITS
     Holding
    0.93
     Facilities
    0.92
     Publishing
    0.87
     Fighters
    0.86
     Solutions
    0.83
     Devices
    0.83
     Resources
    0.81
     Away
    0.81
     Association
    0.80
     Lounge
    0.79
    Activations Density 0.026%

    No Known Activations