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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. 3-RES-JB
    6. 7693
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    INDEX
    Explanations

    phrases or sentences indicating sarcasm or jest

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to teasing or joking

    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
    Not in Any Lists

    No Comments

    Negative Logits
    marked
    -0.89
    ŃĶ
    -0.85
    por
    -0.75
    marks
    -0.72
    porter
    -0.70
    gars
    -0.68
    actions
    -0.67
    Decre
    -0.67
    lining
    -0.66
    morph
    -0.66
    POSITIVE LOGITS
     kidding
    1.25
     aside
    0.88
     joking
    0.79
     aloud
    0.74
     spared
    0.69
     hypoc
    0.66
    renheit
    0.65
     posit
    0.64
     Goodbye
    0.62
     jokes
    0.62
    Activations Density 0.007%

    No Known Activations