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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 18075
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    Explanations

    phrases indicating questions and answers

    oai_token-act-pair · gpt-3.5-turbo

    references to answers and inquiries regarding questions

    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
    wana
    -0.71
     Leban
    -0.70
     Vengeance
    -0.64
     Sabha
    -0.64
    dar
    -0.63
    DAQ
    -0.62
    ::::::::
    -0.61
    ombat
    -0.61
    rie
    -0.61
    agonists
    -0.61
    POSITIVE LOGITS
     thereto
    1.01
    answer
    0.97
    answered
    0.96
     answ
    0.95
    naires
    0.91
     answered
    0.88
     answer
    0.86
    swers
    0.84
     answers
    0.83
     questions
    0.83
    Activations Density 0.040%

    No Known Activations