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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. 5-RES-JB
    6. 12159
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    Explanations

    phrases related to emotions and emotional regulation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to emotional regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essential
    -0.67
    iago
    -0.65
     Nex
    -0.63
    Dou
    -0.62
     Municip
    -0.61
    unes
    -0.61
    holder
    -0.61
     Monthly
    -0.60
    estones
    -0.60
    ardy
    -0.60
    POSITIVE LOGITS
     feelings
    0.84
    uate
    0.84
    otions
    0.82
     emotions
    0.82
    uated
    0.82
    otion
    0.81
     emotion
    0.78
    uations
    0.78
    atically
    0.78
     contag
    0.78
    Activations Density 0.014%

    No Known Activations