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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. 8-RES-JB
    11. 14840
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    Explanations

    data-related phrases and percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data or percentages related to rarity and commonality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nare
    -0.65
    sic
    -0.62
     chem
    -0.61
     puberty
    -0.61
     Rove
    -0.61
     headlights
    -0.60
     CFR
    -0.60
     schedules
    -0.59
     bush
    -0.59
     phil
    -0.58
    POSITIVE LOGITS
     Hitman
    0.75
    angan
    0.75
    ãĥ´ãĤ¡
    0.75
    Common
    0.74
    PC
    0.74
    selling
    0.72
    votes
    0.71
    ãĥIJ
    0.69
    pees
    0.69
    ãĥ¯ãĥ³
    0.68
    Activations Density 0.074%

    No Known Activations