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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. 16849
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    INDEX
    Explanations

    people's relationships and connections, including friends, teammates, collaborators, and acquaintances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to collaboration and relationships among individuals

    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
     differed
    -0.66
     uniquely
    -0.65
    ahime
    -0.63
     resisted
    -0.63
     defy
    -0.63
    ItemImage
    -0.62
    Request
    -0.62
    Hispanic
    -0.61
    ::::::::
    -0.61
     derives
    -0.60
    POSITIVE LOGITS
     extraord
    1.15
     Shaun
    1.10
     Brent
    1.06
     Bruce
    1.06
     Tony
    1.04
     Khalid
    1.03
     Shannon
    1.03
     Patrick
    1.03
     Heather
    1.03
     Stephen
    1.03
    Activations Density 0.240%

    No Known Activations