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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. 10-RES-JB
    6. 1612
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    Explanations

    words related to physical and mental health issues, including symptoms, medical conditions, and side effects of medications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health conditions and their effects

    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
    soDeliveryDate
    -0.95
    deals
    -0.79
    çīĪ
    -0.78
    nesday
    -0.74
    roo
    -0.74
    solete
    -0.73
    Haunted
    -0.71
    trap
    -0.69
    DragonMagazine
    -0.69
    Deal
    -0.69
    POSITIVE LOGITS
     metabolism
    1.31
     limbs
    1.27
     functioning
    1.21
     cognition
    1.21
     consciousness
    1.21
     mobility
    1.20
     digestion
    1.20
     thyroid
    1.19
     bladder
    1.18
     bowel
    1.18
    Activations Density 0.262%

    No Known Activations