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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. 8-RES-JB
    6. 15682
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    INDEX
    Explanations

    dialogue actions and inquiries within a conversation

    oai_token-act-pair · gpt-3.5-turbo

    dialogue and questions in conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artifacts
    -0.97
    theless
    -0.87
    icultural
    -0.81
    rats
    -0.78
    etheless
    -0.77
    HCR
    -0.76
    wcs
    -0.76
    earable
    -0.75
    creation
    -0.73
    icter
    -0.73
    POSITIVE LOGITS
     sounding
    0.91
     whispered
    0.89
     whisper
    0.88
     loudly
    0.83
     aloud
    0.82
     loud
    0.82
     sarcast
    0.82
     softly
    0.81
     louder
    0.79
     yelled
    0.78
    Activations Density 0.197%

    No Known Activations