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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 11519
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    Explanations

    references to nursing homes and healthcare professionals

    oai_token-act-pair · gpt-3.5-turbo

    references to nursing and caregivers

    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
    inations
    -0.89
    âĸ¬
    -0.80
    izons
    -0.79
     Ramadan
    -0.75
     SX
    -0.72
    inates
    -0.70
    eering
    -0.68
    çīĪ
    -0.68
    ahime
    -0.68
    gered
    -0.67
    POSITIVE LOGITS
    maid
    1.39
     practitioner
    1.38
     practitioners
    1.00
     nurse
    0.96
     nursing
    0.93
     nurs
    0.92
     nurses
    0.90
     Nurs
    0.89
     examiner
    0.87
     anesthesia
    0.85
    Activations Density 0.046%

    No Known Activations