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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. 7225
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    INDEX
    Explanations

    language related to digging or searching through something

    oai_token-act-pair · gpt-3.5-turbo

    the word "dig" and its various forms in the context of exploration or investigation

    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
     Leilan
    -0.77
     Blueprint
    -0.74
    BuyableInstoreAndOnline
    -0.74
     wart
    -0.68
     Karin
    -0.63
     ACTIONS
    -0.61
    âĹ¼
    -0.60
    Thomas
    -0.60
    Thumbnail
    -0.60
    ................................................................
    -0.60
    POSITIVE LOGITS
    itial
    1.06
    gers
    1.00
    ongs
    1.00
    imon
    0.98
    raph
    0.97
     dug
    0.95
     dig
    0.94
    ression
    0.92
     Dug
    0.91
    ested
    0.89
    Activations Density 0.017%

    No Known Activations