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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. 4-RES-JB
    6. 12848
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    Explanations

    phrases related to medical check-ups and routine examinations

    oai_token-act-pair · gpt-3.5-turbo

    references to medical check-ups and assessments

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

    No Comments

    Negative Logits
    BN
    -0.63
    RA
    -0.62
    bal
    -0.62
    âĸ¬
    -0.60
     Bed
    -0.58
     Pillar
    -0.57
    zi
    -0.55
    leaf
    -0.55
    Bu
    -0.55
     Proposition
    -0.54
    POSITIVE LOGITS
    hip
    1.45
    hips
    1.38
    paces
    1.38
    ettings
    1.26
    pace
    1.25
    pring
    1.24
    chool
    1.20
    mith
    1.16
    uggest
    1.16
    poons
    1.16
    Activations Density 0.089%

    No Known Activations