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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6415
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    INDEX
    Explanations

    instances of the word "angry" or emotionally charged words and phrases related to anger

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger or frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 6 - anger

    No Comments

    Negative Logits
    sites
    -0.97
    uchin
    -0.85
    artifacts
    -0.84
    ingen
    -0.83
    akeru
    -0.82
    fman
    -0.82
    ajo
    -0.81
    icrobial
    -0.81
    glas
    -0.81
     livest
    -0.80
    POSITIVE LOGITS
     outburst
    0.95
     angry
    0.90
     mobs
    0.87
     parting
    0.79
     indignation
    0.79
     Birds
    0.77
     shouts
    0.76
     streak
    0.74
     Angry
    0.73
     anger
    0.73
    Activations Density 0.033%

    No Known Activations