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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. 12-RES-JB
    11. 2374
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    Explanations

    mentions of character encounters and actions in various fictional scenarios, possibly from movies, TV shows, or books

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to actions, specifically those involving conflict or challenges faced by characters

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    tip
    -0.66
    inse
    -0.64
    lation
    -0.63
    IJ
    -0.62
    istries
    -0.62
    Twitter
    -0.61
    tesy
    -0.61
    displayText
    -0.61
    Contribut
    -0.60
    fman
    -0.60
    POSITIVE LOGITS
     Cipher
    0.97
     Luffy
    0.96
     Princess
    0.96
     Hera
    0.95
     Ichigo
    0.94
     Lilith
    0.91
     Fenrir
    0.90
     Korra
    0.89
     Amon
    0.89
     Sakuya
    0.89
    Activations Density 0.391%

    No Known Activations