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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. 8070
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    Explanations

    proper nouns related to cities, specifically Mumbai and Shanghai

    oai_token-act-pair · gpt-3.5-turbo

    references to the cities Mumbai and Shanghai

    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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    Negative Logits
    minist
    -0.95
    dit
    -0.88
    lete
    -0.86
    rose
    -0.81
    ternity
    -0.81
    eworld
    -0.79
    sonian
    -0.79
    glas
    -0.79
    redo
    -0.75
    roma
    -0.75
    POSITIVE LOGITS
     Lumpur
    0.89
     Opera
    0.84
     guiActiveUnfocused
    0.83
     Cooperation
    0.79
    ashtra
    0.78
     Borough
    0.72
     Express
    0.71
     skyline
    0.70
     mosqu
    0.68
     Sharks
    0.68
    Activations Density 0.059%

    No Known Activations