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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. 1892
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    Explanations

    phrases related to urban settings and city activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to urban movement and transportation

    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
    Wisconsin
    -0.98
    Iowa
    -0.90
    NAS
    -0.89
    Utah
    -0.88
    Arizona
    -0.85
    Surv
    -0.85
     Chero
    -0.81
    Oregon
    -0.80
     Navajo
    -0.78
     Survivor
    -0.78
    POSITIVE LOGITS
     neighbourhoods
    1.61
     streets
    1.54
     bustling
    1.45
     malls
    1.42
     cafes
    1.39
     city
    1.28
     neighbourhood
    1.27
     suburbs
    1.24
     metro
    1.23
     tourist
    1.21
    Activations Density 0.533%

    No Known Activations