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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. 10476
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    Explanations

    words related to rules and regulations regarding behavior in public places

    oai_token-act-pair · gpt-3.5-turbo

    regulations or rules regarding safety and public behavior

    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
    utsche
    -0.70
    yssey
    -0.69
     relapse
    -0.69
    batch
    -0.68
    oan
    -0.65
    fortune
    -0.64
     tweak
    -0.63
     epigen
    -0.61
    sei
    -0.61
    Congratulations
    -0.60
    POSITIVE LOGITS
     premises
    1.52
     entrances
    1.46
     sidewalks
    1.40
     restrooms
    1.37
     bathrooms
    1.27
     balcon
    1.21
     enclosed
    1.19
     restroom
    1.19
     toilets
    1.18
     designated
    1.17
    Activations Density 0.481%

    No Known Activations