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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. 3920
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    INDEX
    Explanations

    details related to progress in sports events or competitions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    statistical data related to athletic performance

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.74
     Loot
    -0.72
    EFF
    -0.70
    abal
    -0.70
    payers
    -0.69
    Mods
    -0.68
    CHECK
    -0.66
    RPG
    -0.66
    actionDate
    -0.66
    Spoiler
    -0.65
    POSITIVE LOGITS
     relay
    1.31
     hurdles
    1.18
     hurd
    1.00
     distances
    0.98
     ja
    0.97
     distance
    0.97
    athlon
    0.97
     snatch
    0.96
     1500
    0.94
     swimming
    0.94
    Activations Density 0.216%

    No Known Activations