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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. 12-RES-JB
    6. 17792
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    Explanations

    phrases related to infection and contamination, especially in a medical context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to infection and contamination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    rend
    -0.74
     guiActiveUn
    -0.73
    YC
    -0.71
     compr
    -0.67
    HCR
    -0.66
     distingu
    -0.66
    OPA
    -0.66
    asin
    -0.66
    cuts
    -0.65
     guiIcon
    -0.64
    POSITIVE LOGITS
    ious
    0.95
    iously
    0.89
     infected
    0.81
    nesses
    0.78
     infect
    0.77
     contaminated
    0.77
     bacteria
    0.76
    ivity
    0.76
    ion
    0.76
     organisms
    0.75
    Activations Density 0.093%

    No Known Activations