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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. 5-RES-JB
    6. 2626
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    Explanations

    mentions of nurses

    oai_token-act-pair · gpt-3.5-turbo

    references to nurses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inations
    -0.83
    çīĪ
    -0.80
    izons
    -0.74
    eering
    -0.71
    inates
    -0.69
    ãĥĪ
    -0.66
    DX
    -0.66
     Ramadan
    -0.65
    obo
    -0.65
    oric
    -0.65
    POSITIVE LOGITS
    maid
    1.36
     practitioner
    1.34
     nurs
    1.01
     examiner
    0.97
     nurse
    0.96
     Nurs
    0.94
     practitioners
    0.89
     nursing
    0.83
     nurses
    0.80
    erest
    0.77
    Activations Density 0.012%

    No Known Activations