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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. 13891
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    INDEX
    Explanations

    descriptions of negative emotions such as frustration, anger, disappointment, fear, and helplessness in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of complex emotional states and feelings

    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
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    No Comments

    Negative Logits
    sites
    -0.79
    lar
    -0.78
    代
    -0.76
    eworks
    -0.76
    itures
    -0.75
    photos
    -0.72
    ucci
    -0.72
     Manufacturing
    -0.71
    printf
    -0.70
    liner
    -0.68
    POSITIVE LOGITS
     sadness
    1.83
     frustration
    1.78
     resentment
    1.72
     apprehension
    1.70
     disappointment
    1.69
     disgust
    1.69
     anxiety
    1.68
     envy
    1.67
     anger
    1.67
     jealousy
    1.66
    Activations Density 0.287%

    No Known Activations