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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. 8-RES-JB
    6. 21717
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    Explanations

    descriptions related to the physical characteristics of leaves

    oai_token-act-pair · gpt-3.5-turbo

    references to leaves and plant-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.87
    eatures
    -0.77
    iazep
    -0.74
    ONSORED
    -0.72
     accountability
    -0.69
    quickShipAvailable
    -0.69
    Session
    -0.68
    ICT
    -0.68
     practition
    -0.67
    MRI
    -0.67
    POSITIVE LOGITS
    cone
    0.97
     trees
    0.96
     moss
    0.95
     planted
    0.95
     harvested
    0.94
    aceous
    0.94
    grass
    0.93
     fungus
    0.92
     foliage
    0.92
     pine
    0.89
    Activations Density 0.082%

    No Known Activations