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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 8007
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    Explanations

    mentions or references to restaurants

    oai_token-act-pair · gpt-3.5-turbo

    mentions of restaurants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioxide
    -0.87
    OX
    -0.68
     Weld
    -0.66
     SPD
    -0.65
     Suk
    -0.63
     DPR
    -0.63
     Matter
    -0.63
     Powers
    -0.63
     spores
    -0.62
     Ake
    -0.62
    POSITIVE LOGITS
     Restaur
    1.05
     restaurants
    1.04
     restaurant
    1.02
     Restaurant
    0.94
     establishments
    0.93
    eteria
    0.92
     eater
    0.91
     menus
    0.89
    ateurs
    0.88
    isine
    0.85
    Activations Density 0.027%

    No Known Activations