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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. 9-RES-JB
    6. 11813
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    Explanations

    time-related information, potentially news updates

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and time references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     lett
    -0.70
     spons
    -0.70
    conservancy
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     acknowled
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    Ĥª
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     behav
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     vend
    -0.62
     independ
    -0.61
     arrang
    -0.60
     ingred
    -0.59
    POSITIVE LOGITS
     EDT
    1.14
     ET
    1.03
     PDT
    0.99
     EST
    0.94
     GMT
    0.93
     UPDATE
    0.92
     BST
    0.91
    .:
    0.87
     PST
    0.87
     EDITION
    0.83
    Activations Density 0.049%

    No Known Activations