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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. 4-RES-JB
    11. 6086
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    Explanations

    proper nouns related to a specific location, specifically "Sydney."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Sydney

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

    No Comments

    Negative Logits
    OHN
    -0.80
    arist
    -0.79
    abet
    -0.75
    aired
    -0.73
    Magikarp
    -0.70
    Torrent
    -0.68
    ocobo
    -0.67
    redo
    -0.67
    toggle
    -0.66
    naire
    -0.65
    POSITIVE LOGITS
     Harbour
    1.12
     Lumpur
    1.04
     Harbor
    0.87
     Morning
    0.85
    ites
    0.83
     NSW
    0.81
     Brisbane
    0.79
     Sydney
    0.78
     Opera
    0.76
     Wand
    0.75
    Activations Density 0.006%

    No Known Activations