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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. 0-RES-JB
    6. 16415
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    Explanations

    terms related to detection and monitoring

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anan
    -0.77
     Holiday
    -0.70
     presided
    -0.67
     enjoyed
    -0.66
    orrow
    -0.65
    rue
    -0.64
    onte
    -0.63
     socialist
    -0.63
    acre
    -0.62
     Hammond
    -0.62
    POSITIVE LOGITS
     detection
    3.82
     Detection
    2.97
     detecting
    2.37
     detector
    2.28
     detectors
    2.16
     detect
    2.11
     detected
    1.93
    Detect
    1.61
     detects
    1.61
     Detect
    1.59
    Activations Density 0.015%

    No Known Activations