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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. 1-RES-JB
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    Explanations

    words related to negative emotions such as shame and disgust

    oai_token-act-pair · gpt-3.5-turbo

    expressions of shame and disgust

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.75
     nomine
    -0.71
    vati
    -0.69
    ammy
    -0.65
    OTE
    -0.65
    wo
    -0.64
    papers
    -0.64
    HER
    -0.64
    Pool
    -0.64
    ctica
    -0.61
    POSITIVE LOGITS
     ashamed
    1.21
     disgusted
    0.92
    ĸļ
    0.81
     disgust
    0.81
     Zucker
    0.81
     remorse
    0.76
    anie
    0.75
    reve
    0.75
     horrified
    0.74
     indignation
    0.73
    Activations Density 0.013%

    No Known Activations