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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. 8757
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    Explanations

    phrases indicating determination or decision

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    aples
    -0.67
    ernels
    -0.66
    WIND
    -0.61
    archives
    -0.60
    ilers
    -0.59
     Kis
    -0.58
    wine
    -0.58
    heed
    -0.57
    asus
    -0.57
    illi
    -0.57
    POSITIVE LOGITS
     anywhere
    1.32
     anymore
    1.10
     nor
    0.90
     slightest
    0.87
     anytime
    0.86
     any
    0.84
     overboard
    0.84
     whatsoever
    0.81
     unnoticed
    0.80
     lightly
    0.77
    Activations Density 0.048%

    No Known Activations