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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. 12-RES-JB
    11. 2367
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    INDEX
    Explanations

    phrases related to food and dining out

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    concepts related to quality, design, and performance in products and services

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    quished
    -0.90
    Bet
    -0.81
    mr
    -0.81
    avorite
    -0.79
    vae
    -0.78
    sections
    -0.78
    iaries
    -0.77
    Strange
    -0.77
    EStream
    -0.74
    Male
    -0.73
    POSITIVE LOGITS
     affordability
    1.71
     reliability
    1.62
     usability
    1.59
     durability
    1.54
     simplicity
    1.50
     convenience
    1.49
     efficiency
    1.49
     accessibility
    1.46
     versatility
    1.45
     responsiveness
    1.41
    Activations Density 0.240%

    No Known Activations