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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. 0-RES-JB
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    references to retail stores

    oai_token-act-pair · gpt-3.5-turbo

    references to retail locations or stores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cussion
    -0.74
    sung
    -0.68
    rait
    -0.67
     Passion
    -0.62
    hee
    -0.62
    vind
    -0.62
    away
    -0.61
     Kissinger
    -0.61
    angered
    -0.61
    peer
    -0.60
    POSITIVE LOGITS
     stores
    3.87
     Stores
    2.90
    stores
    2.78
     store
    2.66
     shops
    2.37
    Store
    2.08
    store
    2.06
     retailers
    2.02
     supermarkets
    2.00
     Store
    1.98
    Activations Density 0.013%

    No Known Activations