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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. 10-RES-JB
    11. 1099
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    Explanations

    airline companies and flight-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of airlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ulkan
    -0.76
    utenberg
    -0.75
    ebook
    -0.72
    usalem
    -0.72
    hunt
    -0.71
    aphael
    -0.71
    arios
    -0.71
     Jah
    -0.71
    idency
    -0.69
    itatively
    -0.66
    POSITIVE LOGITS
     Airlines
    1.13
     passengers
    1.07
     passenger
    1.04
     airlines
    1.02
     Flight
    1.00
     flights
    0.99
    Pass
    0.92
     flight
    0.91
     carriers
    0.90
     fares
    0.87
    Activations Density 0.069%

    No Known Activations