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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. 3-RES-JB
    11. 22640
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    Explanations

    words related to strong negative emotions, specifically disgust

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disgust or negative emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.80
    ctica
    -0.78
    itars
    -0.67
    ept
    -0.67
    ingham
    -0.66
    ht
    -0.66
    plane
    -0.66
    prus
    -0.65
    pmwiki
    -0.65
    stood
    -0.64
    POSITIVE LOGITS
    ingly
    1.26
    uously
    0.83
     disgust
    0.80
     disgusted
    0.78
    liness
    0.75
     Viz
    0.74
    anie
    0.69
     Bane
    0.68
    ptin
    0.66
     dismay
    0.65
    Activations Density 0.017%

    No Known Activations