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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. 2-RES-JB
    6. 16560
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    Explanations

    phrases related to medical conditions involving the kidneys

    oai_token-act-pair · gpt-3.5-turbo

    terms related to kidney health and diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.86
    aneers
    -0.76
     Gleaming
    -0.75
     Sark
    -0.74
    Published
    -0.74
     WARN
    -0.73
    hips
    -0.72
     Whitman
    -0.69
     Dragonbound
    -0.67
    rams
    -0.67
    POSITIVE LOGITS
     kidney
    1.18
     kidneys
    0.98
     renal
    0.96
     transplant
    0.91
     tub
    0.86
    stone
    0.85
     gland
    0.83
    stones
    0.81
    bean
    0.79
     transpl
    0.79
    Activations Density 0.008%

    No Known Activations