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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. 9-RES-JB
    11. 2705
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    Explanations

    information related to the opening of new establishments, such as restaurants or stores

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to new business openings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pse
    -0.96
     analys
    -0.88
    elligence
    -0.87
     trillions
    -0.86
     Supplementary
    -0.83
     ransom
    -0.79
     cryptography
    -0.78
     analyse
    -0.78
    arse
    -0.76
     maths
    -0.75
    POSITIVE LOGITS
     storefront
    1.34
     downtown
    1.29
     Downtown
    1.24
     franch
    1.23
     Yelp
    1.23
     renovations
    1.14
     restaurants
    1.13
     Owner
    1.12
    owntown
    1.12
     brewery
    1.11
    Activations Density 0.965%

    No Known Activations