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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. 23870
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    INDEX
    Explanations

    descriptions of colors and physical qualities

    oai_token-act-pair · gpt-3.5-turbo

    descriptive terms related to colors and physical characteristics of objects

    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
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.90
    soDeliveryDate
    -0.83
    icts
    -0.75
     Unlimited
    -0.74
     Robotics
    -0.72
     Contracts
    -0.70
    tests
    -0.68
     mathemat
    -0.68
    GROUP
    -0.66
    Study
    -0.66
    POSITIVE LOGITS
     hue
    1.28
     complexion
    1.26
     tint
    1.18
     color
    1.17
     brown
    1.16
     streaks
    1.13
     redd
    1.11
     colour
    1.10
     gray
    1.08
     colored
    1.08
    Activations Density 0.170%

    No Known Activations