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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of retailers or stores

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "retailer" and variations of the term "retailers."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.93
    sky
    -0.76
    thia
    -0.73
    atever
    -0.72
    lihood
    -0.69
    ktop
    -0.64
     Lives
    -0.64
     Drawing
    -0.63
    tein
    -0.62
    ceed
    -0.62
    POSITIVE LOGITS
     retailer
    1.09
     retailers
    1.08
     shoppers
    0.99
     stores
    0.88
     shelves
    0.88
     store
    0.85
     shops
    0.84
    stores
    0.83
     malls
    0.83
     Stores
    0.82
    Activations Density 0.008%

    No Known Activations