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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. 9050
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    Explanations

    cities, likely in a news or geopolitical context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of city names

    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
    manship
    -0.78
    Leod
    -0.71
    potion
    -0.70
    oin
    -0.69
    orge
    -0.66
    avage
    -0.66
    lease
    -0.65
    Chuck
    -0.65
    wine
    -0.63
     recip
    -0.63
    POSITIVE LOGITS
     Airport
    1.11
     airport
    1.11
     Municip
    1.11
     Hilton
    1.04
     Metropolitan
    1.04
     Lumpur
    1.03
     metro
    1.01
     suburb
    1.00
     Marriott
    0.98
     metropolitan
    0.97
    Activations Density 0.115%

    No Known Activations