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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. 9-RES-JB
    11. 16320
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    Explanations

    phrases related to restaurants

    oai_token-act-pair · gpt-3.5-turbo

    vocabulary related to restaurants and dining establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioxide
    -0.83
    abies
    -0.72
    vernment
    -0.71
     Powers
    -0.70
     Suk
    -0.68
    inventoryQuantity
    -0.68
     Belarus
    -0.67
     SPD
    -0.64
     Measures
    -0.63
    idable
    -0.63
    POSITIVE LOGITS
     Restaur
    1.20
     restaurants
    1.17
     restaurant
    1.12
     chefs
    1.11
     meals
    1.07
     chef
    1.03
     menus
    1.02
    isine
    1.00
     Restaurant
    1.00
     establishments
    0.95
    Activations Density 0.085%

    No Known Activations