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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. 4904
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    Explanations

    phrases related to supply and demand

    oai_token-act-pair · gpt-3.5-turbo
    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
    brow
    -0.77
    ogie
    -0.72
     Behavior
    -0.72
     jurors
    -0.72
     Spy
    -0.71
    gey
    -0.70
     Privacy
    -0.68
     Crimes
    -0.68
     kisses
    -0.67
     Psychology
    -0.67
    POSITIVE LOGITS
     shortages
    1.74
     shortage
    1.53
     capacity
    1.49
     supply
    1.47
    Demand
    1.40
     replen
    1.37
     ration
    1.36
    capacity
    1.33
     supplies
    1.29
     demand
    1.28
    Activations Density 0.564%

    No Known Activations