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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. 9-RES-JB
    11. 11273
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    Explanations

    references to retail sales and retail-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the retail industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.85
    thia
    -0.80
    hered
    -0.76
     Grayson
    -0.69
    atever
    -0.67
    umbnail
    -0.65
     Metatron
    -0.65
     Younger
    -0.63
    strings
    -0.63
    umar
    -0.63
    POSITIVE LOGITS
     establishments
    1.04
     shops
    1.02
     malls
    1.02
     stores
    1.00
     storefront
    0.99
     Stores
    0.98
     outlets
    0.97
    shop
    0.87
    eport
    0.86
     store
    0.85
    Activations Density 0.041%

    No Known Activations