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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. 5-RES-JB
    6. 18705
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    Explanations

    locations or facilities related to health and community services

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of centers and clinics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.79
    ãĥĥãĥī
    -0.76
    ãģĦ
    -0.74
    cloud
    -0.71
     Verse
    -0.67
     Incarn
    -0.64
     Rounds
    -0.62
    latest
    -0.62
    Dust
    -0.62
     recoil
    -0.61
    POSITIVE LOGITS
     specializing
    0.96
     operator
    0.93
     operated
    0.92
     staffed
    0.92
     operators
    0.86
    yrinth
    0.84
    orer
    0.76
    rador
    0.75
     catering
    0.75
     facilities
    0.73
    Activations Density 0.313%

    No Known Activations