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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. 21931
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    INDEX
    Explanations

    mentions of a specific group of people

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of individuals or communities

    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
    catentry
    -0.87
    inventoryQuantity
    -0.87
    ļéĨĴ
    -0.78
    Va
    -0.75
     srfAttach
    -0.75
    Accessory
    -0.68
    Availability
    -0.67
    Customer
    -0.66
     Lank
    -0.66
    etric
    -0.65
    POSITIVE LOGITS
    folk
    1.07
    hood
    1.03
     smugglers
    0.97
     inhab
    0.88
    gnu
    0.88
    atics
    0.79
    ulkan
    0.79
     born
    0.76
     enslaved
    0.76
     massac
    0.76
    Activations Density 0.094%

    No Known Activations