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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
    11. 20851
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    Explanations

    words related to negative emotions, especially anger

    oai_token-act-pair · gpt-3.5-turbo

    references to feelings of anger

    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
    •layer 1 - anger

    No Comments

    Negative Logits
    MER
    -0.80
    apple
    -0.76
    sites
    -0.76
    glas
    -0.75
    arent
    -0.74
    pmwiki
    -0.74
    aver
    -0.72
    issue
    -0.72
    ums
    -0.70
    icrobial
    -0.69
    POSITIVE LOGITS
     anger
    1.21
     indignation
    1.08
     fury
    0.93
     resentment
    0.88
     angry
    0.87
     Anger
    0.86
     displeasure
    0.80
     rage
    0.80
     frustration
    0.78
    fulness
    0.78
    Activations Density 0.010%

    No Known Activations