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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. 8-RES-JB
    6. 16276
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    INDEX
    Explanations

    mentions of people's names and their related actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    events and actions occurring in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LCS
    -0.77
    inventoryQuantity
    -0.74
    etheless
    -0.74
    olid
    -0.73
    byss
    -0.67
     Streaming
    -0.67
     GSL
    -0.66
    ï¸ı
    -0.66
    UFC
    -0.65
     WCS
    -0.65
    POSITIVE LOGITS
     startled
    0.82
     astonished
    0.79
     exclaim
    0.78
     horrified
    0.77
     exclaimed
    0.75
     "'
    0.75
     classmate
    0.74
     innocuous
    0.74
     arous
    0.72
     classmates
    0.72
    Activations Density 1.535%

    No Known Activations