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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. 10-RES-JB
    6. 19156
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    Explanations

    technical product names and features

    oai_token-act-pair · gpt-3.5-turbo

    specific product features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     joke
    -0.63
     ..."
    -0.63
     Tasman
    -0.62
     Hilton
    -0.61
     nodd
    -0.61
     Carlton
    -0.60
     Laur
    -0.58
    attering
    -0.58
     Universities
    -0.57
    ************
    -0.56
    POSITIVE LOGITS
     is
    1.06
     utilizes
    1.02
     consists
    1.02
     represents
    1.02
     combines
    0.97
     provides
    0.97
     involves
    0.94
     allows
    0.93
     manages
    0.93
     enables
    0.93
    Activations Density 0.234%

    No Known Activations