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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. 20651
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    INDEX
    Explanations

    phrases indicating the concept of carrying a physical or metaphorical weight or burden

    oai_token-act-pair · gpt-3.5-turbo

    references to carrying burdens or responsibilities

    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
    earch
    -0.81
     ende
    -0.79
    lectic
    -0.76
    Ü
    -0.73
    lished
    -0.71
    aturday
    -0.71
    ubs
    -0.69
    foundland
    -0.67
    gdala
    -0.66
    iscons
    -0.66
    POSITIVE LOGITS
     brunt
    1.14
     burdens
    1.10
     baggage
    1.08
     burden
    1.08
     load
    1.07
     torch
    0.98
     banner
    0.97
     mantle
    0.95
     loads
    0.91
     weight
    0.91
    Activations Density 0.178%

    No Known Activations