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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. 11-RES-JB
    11. 2651
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    Explanations

    locations and landmarks in a city

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and venues in news-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Adin
    -0.73
    Americans
    -0.73
     Appalachian
    -0.72
     Neighbor
    -0.71
    Utah
    -0.71
    ventory
    -0.68
    thia
    -0.68
    Wisconsin
    -0.67
    aternal
    -0.66
    atchewan
    -0.65
    POSITIVE LOGITS
     stadium
    1.33
     venue
    1.29
     cafe
    1.19
     Hotel
    1.17
     palace
    1.16
     railway
    1.16
     hotel
    1.13
     café
    1.13
     centre
    1.13
     cathedral
    1.12
    Activations Density 0.313%

    No Known Activations