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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. 12214
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    Explanations

    words related to negative emotions such as upset, angry, furious, and outraged

    oai_token-act-pair · gpt-3.5-turbo

    expressions of negative emotions, particularly anger and upset

    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
    •layer 11 - anger

    No Comments

    Negative Logits
     vantage
    -0.75
     Refresh
    -0.65
    icrobial
    -0.62
    ternity
    -0.61
    ancies
    -0.59
    zig
    -0.59
    iller
    -0.59
    road
    -0.58
    INAL
    -0.58
     assum
    -0.58
    POSITIVE LOGITS
     about
    1.06
     ABOUT
    0.99
    about
    0.89
     that
    0.81
     over
    0.80
     About
    0.79
     by
    0.78
     enough
    0.77
    dy
    0.71
    ingly
    0.71
    Activations Density 0.097%

    No Known Activations