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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. 6-RES-JB
    6. 4537
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    Explanations

    proper nouns related to organizations, titles, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals' names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tantal
    -0.66
     hurdle
    -0.65
    isSpecialOrderable
    -0.62
    Advertisements
    -0.61
     chilling
    -0.61
    .'"
    -0.61
     gaps
    -0.60
     Hawking
    -0.60
     obstacles
    -0.59
     Ukrainians
    -0.59
    POSITIVE LOGITS
     Village
    0.67
     Industries
    0.65
     Projects
    0.60
     Merchants
    0.60
    Portland
    0.59
    Dialogue
    0.59
    chan
    0.59
    omics
    0.59
     Corona
    0.58
     Cong
    0.58
    Activations Density 0.530%

    No Known Activations