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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. 4-RES-JB
    11. 761
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    Explanations

    keywords related to keeping track of physical items, such as inventory lists and inventory management

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "inventory."

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

    No Comments

    Negative Logits
    ulhu
    -0.73
    AFTA
    -0.70
     Revenge
    -0.66
    vous
    -0.64
    bara
    -0.64
    hua
    -0.63
    mond
    -0.62
    pher
    -0.62
     Johann
    -0.61
    lat
    -0.60
    POSITIVE LOGITS
     inventory
    1.08
     shelves
    0.90
     Inventory
    0.90
     holdings
    0.85
    iencies
    0.81
     appraisal
    0.81
    iture
    0.79
    uably
    0.78
     listings
    0.76
    ventory
    0.75
    Activations Density 0.012%

    No Known Activations