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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. 8133
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    Explanations

    industry-related terms and trade policy discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition and trade regulations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Zach
    -0.82
     Mour
    -0.80
    romptu
    -0.79
     Jeremiah
    -0.78
     Oaks
    -0.76
     remem
    -0.73
     Patton
    -0.73
     Staten
    -0.73
    ocamp
    -0.72
     Cindy
    -0.72
    POSITIVE LOGITS
     tariffs
    1.58
     tariff
    1.56
     monopol
    1.54
     monopoly
    1.44
     pricing
    1.38
     prices
    1.36
     markets
    1.36
     market
    1.35
     suppliers
    1.32
     consumers
    1.30
    Activations Density 0.777%

    No Known Activations