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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. 8-RES-JB
    11. 12283
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    Explanations

    locations, specifically cities

    oai_token-act-pair · gpt-3.5-turbo

    specific geographic locations and their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     mete
    -0.64
     Clim
    -0.63
     Reincarn
    -0.62
     smoot
    -0.62
     penet
    -0.62
     bottled
    -0.62
     liquid
    -0.60
     standing
    -0.60
     Hubble
    -0.60
     Osiris
    -0.59
    POSITIVE LOGITS
    burgh
    0.96
    opolis
    0.87
     Janeiro
    0.85
     City
    0.84
    furt
    0.81
     Rapids
    0.79
     Lumpur
    0.79
    ford
    0.79
    hurst
    0.78
     suburb
    0.78
    Activations Density 0.157%

    No Known Activations