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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. 21140
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    Explanations

    events or activities organized by groups or communities

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with holding events or gatherings

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oxin
    -0.76
    etheless
    -0.71
    ilk
    -0.70
     burd
    -0.67
    ername
    -0.65
    shield
    -0.65
    rapnel
    -0.64
    ãĥĥãĥĪ
    -0.63
     pursued
    -0.62
    ensable
    -0.62
    POSITIVE LOGITS
     meetings
    1.41
     ceremonies
    1.40
     weddings
    1.38
     concerts
    1.37
     ceremony
    1.35
     demonstrations
    1.34
     events
    1.31
     celebrations
    1.30
     seminars
    1.30
     rallies
    1.29
    Activations Density 1.303%

    No Known Activations