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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of the city of Moscow

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Moscow or references to its geopolitical context

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.82
    cause
    -0.78
    ORGE
    -0.76
    Thom
    -0.76
    ministic
    -0.75
    Thompson
    -0.73
    Stew
    -0.72
    ROM
    -0.71
    Hal
    -0.69
     Scotch
    -0.69
    POSITIVE LOGITS
     rall
    1.07
     Moscow
    0.93
     Lumpur
    0.92
     Kremlin
    0.92
     annexed
    0.90
    ascus
    0.83
     bureau
    0.80
    iets
    0.80
     bloc
    0.79
     embassy
    0.75
    Activations Density 0.009%

    No Known Activations