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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. 23823
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    Explanations

    names of specific locations and entities

    oai_token-act-pair · gpt-3.5-turbo

    geographic locations or entities

    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
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    Negative Logits
    rencies
    -0.78
    schild
    -0.70
     Canaver
    -0.69
    wagen
    -0.68
    ynthesis
    -0.68
     centrif
    -0.68
    akable
    -0.66
     Nasa
    -0.66
     Bild
    -0.66
     istg
    -0.65
    POSITIVE LOGITS
     County
    1.09
     Legislature
    0.94
     mayoral
    0.93
     Tribune
    0.93
     City
    0.90
    burgh
    0.89
     Municipal
    0.87
    town
    0.87
    VILLE
    0.87
    unicip
    0.87
    Activations Density 0.379%

    No Known Activations