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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. 11541
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    Explanations

    words related to strong negative emotions such as infuriation, galvanization, and anger

    oai_token-act-pair · gpt-3.5-turbo

    words expressing strong emotional reactions, particularly frustration and 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
    lication
    -0.87
    icipated
    -0.84
    ão
    -0.83
    oken
    -0.81
    umbn
    -0.81
    ilion
    -0.78
     occupancy
    -0.77
    uyomi
    -0.77
    elsen
    -0.76
    odan
    -0.73
    POSITIVE LOGITS
    ating
    0.84
    ATING
    0.81
     infuri
    0.78
    atable
    0.76
    Introduced
    0.73
    ATES
    0.72
    erb
    0.71
     prick
    0.71
    nuts
    0.69
    ATE
    0.67
    Activations Density 0.023%

    No Known Activations