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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    the name "Morris" with varying contexts and associations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Morris."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IOC
    -0.72
     ç
    -0.71
     pel
    -0.66
     HQ
    -0.65
     anime
    -0.65
     CCP
    -0.65
     mete
    -0.65
    ä¸Ĭ
    -0.63
    cheat
    -0.63
    éĢ
    -0.62
    POSITIVE LOGITS
     Morris
    3.89
    Mor
    1.90
     Moran
    1.35
     Morrison
    1.32
     Manson
    1.23
     Randolph
    1.21
     Prescott
    1.15
     Morales
    1.13
    Morgan
    1.13
     Mor
    1.13
    Activations Density 0.016%

    No Known Activations