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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. 11-RES-JB
    6. 9650
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    Explanations

    mentions of various medical conditions and disorders

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mental and physical health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.72
     silhou
    -0.69
    soDeliveryDate
    -0.66
    sites
    -0.65
    ezvous
    -0.63
     Zup
    -0.63
    semble
    -0.63
     Tables
    -0.63
     surveys
    -0.61
     Stores
    -0.61
    POSITIVE LOGITS
     exacerbated
    1.23
    ptoms
    1.21
     worsened
    1.20
     symptoms
    1.17
     pneumonia
    1.16
     diagnosed
    1.13
     Syndrome
    1.12
     debilitating
    1.12
     Symptoms
    1.12
     ailments
    1.09
    Activations Density 0.257%

    No Known Activations