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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. 7-RES-JB
    6. 20050
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    Explanations

    references to a specific place or entity named "Du"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Du" followed by a number, indicating a focus on the usage of "Du" in various contexts or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nikov
    -0.77
     CPC
    -0.70
    ãģĨ
    -0.67
     Mariners
    -0.66
    ãĤ¤ãĥĪ
    -0.64
     Parables
    -0.64
     Wanted
    -0.63
     sidx
    -0.62
     Essential
    -0.62
     WRITE
    -0.62
    POSITIVE LOGITS
    arte
    0.99
    pling
    0.98
    plet
    0.97
    cci
    0.96
    pee
    0.92
    illard
    0.92
    plin
    0.92
    opoly
    0.91
    Pont
    0.91
    xton
    0.90
    Activations Density 0.008%

    No Known Activations