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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. 8-RES-JB
    11. 14366
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    Explanations

    medical conditions or symptoms related to chronic health issues

    oai_token-act-pair · gpt-3.5-turbo

    references to chronic health conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    */(
    -0.90
    ramid
    -0.83
    Ĭ±
    -0.78
    imates
    -0.76
    animous
    -0.72
    imore
    -0.72
    imov
    -0.71
    ICE
    -0.70
    hammad
    -0.69
    imus
    -0.68
    POSITIVE LOGITS
    led
    0.94
     traumatic
    0.93
     inflammation
    0.89
     diseases
    0.85
     disease
    0.85
     pain
    0.81
     fatigue
    0.81
     obstruct
    0.79
    ling
    0.78
    lers
    0.77
    Activations Density 0.039%

    No Known Activations