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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15736
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    phrases related to evaluating the quality or progress of a project or product

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate completion or assessment of products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    partisan
    -0.77
     psychiatrists
    -0.77
    edia
    -0.76
    Democrats
    -0.76
     Cosponsors
    -0.75
     mayors
    -0.72
    govtrack
    -0.70
    illin
    -0.69
     Pew
    -0.69
    liberal
    -0.68
    POSITIVE LOGITS
     product
    1.48
     project
    1.32
     endeavor
    1.12
     package
    1.12
     products
    1.08
     device
    1.08
     operation
    1.06
     item
    1.05
     PRODUCT
    1.04
     appliance
    1.01
    Activations Density 0.737%

    No Known Activations