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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. 9272
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    Explanations

    words related to intense emotions, particularly anger or frustration

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "rage"

    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
    •layer 3 - anger

    No Comments

    Negative Logits
    icut
    -0.84
    herty
    -0.74
    missions
    -0.74
    rica
    -0.73
    ramer
    -0.73
    icrobial
    -0.72
    nai
    -0.72
    ead
    -0.70
    anto
    -0.70
    arent
    -0.70
    POSITIVE LOGITS
     rage
    1.08
    quit
    0.93
     fury
    0.92
     furnace
    0.84
     raging
    0.83
     indignation
    0.82
    naire
    0.72
     raged
    0.69
     outburst
    0.69
    ously
    0.69
    Activations Density 0.009%

    No Known Activations