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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. 11-RES-JB
    11. 7735
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    Explanations

    words related to negative emotions such as disgust, outrage, and disdain

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with negative emotions or feelings of disgust

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    aic
    -0.62
     lapse
    -0.62
     McA
    -0.61
     hypot
    -0.60
     smack
    -0.60
     hips
    -0.59
     Jenner
    -0.56
     Adren
    -0.55
     stakes
    -0.55
    riel
    -0.55
    POSITIVE LOGITS
    owship
    1.06
    ointed
    0.91
    untled
    0.88
    ivable
    0.84
    putable
    0.84
    akable
    0.82
    rimination
    0.82
    agement
    0.80
    avored
    0.76
    unction
    0.76
    Activations Density 0.058%

    No Known Activations