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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. 5-RES-JB
    6. 15772
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to unique identifiers or titles of works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     carbohyd
    -0.79
     volunte
    -0.73
     substantive
    -0.73
    ailability
    -0.73
     nursing
    -0.72
    udeb
    -0.72
    umption
    -0.71
     customary
    -0.70
     serious
    -0.69
    lying
    -0.69
    POSITIVE LOGITS
     Reborn
    1.04
     Worlds
    0.99
     Valley
    0.99
     Imaging
    0.98
    Tree
    0.97
     Records
    0.94
     Junction
    0.93
     Strikes
    0.93
     Labs
    0.93
     Warfare
    0.93
    Activations Density 0.219%

    No Known Activations