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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. 24246
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    INDEX
    Explanations

    instances where something is mentioned as being shared or communicated on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on"

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    BILITIES
    -0.70
    rats
    -0.68
    displayText
    -0.66
    EH
    -0.63
    _>
    -0.62
    ravings
    -0.61
    ZA
    -0.61
    riages
    -0.61
    Aid
    -0.61
    uko
    -0.60
    POSITIVE LOGITS
     behalf
    1.47
     facebook
    1.25
     Facebook
    1.22
     YouTube
    1.20
     Twitter
    1.18
     Craigslist
    1.18
     Youtube
    1.18
     youtube
    1.18
     reddit
    1.17
     Reddit
    1.15
    Activations Density 0.152%

    No Known Activations