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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. 10-RES-JB
    6. 22809
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    Explanations

    words related to physical states or actions such as blending, permeating, obscuring, squeezing, filling, wrapping, compressing, deactivating, drowning, shredding, bathing, activating, burning, loosening, repairing

    oai_token-act-pair · gpt-3.5-turbo

    words associated with physical interactions and transformations in various contexts

    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
    bara
    -0.62
     Reck
    -0.61
    ffe
    -0.61
     headlined
    -0.60
    LLOW
    -0.60
    KEN
    -0.60
    Legal
    -0.59
     ende
    -0.59
    PT
    -0.59
     Announce
    -0.59
    POSITIVE LOGITS
     everything
    1.05
     moisture
    0.93
     pores
    0.91
     itself
    0.87
     incoming
    0.86
     pollutants
    0.82
     sunlight
    0.81
     contaminants
    0.80
     nutrients
    0.80
    ensibly
    0.79
    Activations Density 0.232%

    No Known Activations