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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. 5449
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    Explanations

    phrases or questions containing strong emotional language, particularly related to confusion or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disbelief or confusion

    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
    itivity
    -0.66
    imize
    -0.65
    thumbnails
    -0.62
    tsky
    -0.60
    ioxide
    -0.59
    iris
    -0.57
    Interstitial
    -0.55
     inaug
    -0.55
    ursive
    -0.55
    reenshot
    -0.55
    POSITIVE LOGITS
     hell
    1.30
     heck
    1.29
     fuck
    1.16
     HELL
    0.99
     FUCK
    0.97
     Heck
    0.93
     Fuck
    0.89
    fuck
    0.83
     devil
    0.83
    hell
    0.82
    Activations Density 0.121%

    No Known Activations