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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. 7-RES-JB
    6. 22499
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    Explanations

    phrases related to official events or public appearances

    oai_token-act-pair · gpt-3.5-turbo

    specific events or actions related to news conferences and public appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.81
    76561
    -0.69
    CONCLUS
    -0.64
    £ı
    -0.63
    Ͻ
    -0.63
    poon
    -0.62
    etheless
    -0.62
    UCT
    -0.62
    éŃĶ
    -0.62
    Need
    -0.62
    POSITIVE LOGITS
     gestures
    0.93
    window
    0.88
     Photographer
    0.86
     poses
    0.82
     pose
    0.80
     Photograph
    0.76
     reacts
    0.74
     REUTERS
    0.74
    FILE
    0.74
     celebrate
    0.73
    Activations Density 0.697%

    No Known Activations