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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. 13649
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    Explanations

    text mentioning the launch of services or startups

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to traditional television and its services

    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
    ascus
    -0.96
    ********************************
    -0.89
    .....
    -0.87
     !!
    -0.85
    ³³³
    -0.85
    ........
    -0.84
    ......
    -0.84
    ewitness
    -0.82
    .......
    -0.81
    âĢ¦..
    -0.80
    POSITIVE LOGITS
     anonym
    1.08
     screenshots
    1.05
     Zuckerberg
    1.04
     hasht
    1.01
     Tinder
    1.01
     users
    1.00
     curated
    1.00
     URLs
    1.00
     Snapchat
    0.99
     screenshot
    0.99
    Activations Density 1.140%

    No Known Activations