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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. 2-RES-JB
    11. 1837
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    Explanations

    location-related references, specifically focusing on the word "store"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of retail locations, particularly stores

    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
    -0.79
    vernment
    -0.78
     Drawing
    -0.69
    ï¸ı
    -0.69
    SHIP
    -0.68
     Matters
    -0.66
    sky
    -0.64
     Instruments
    -0.64
    theless
    -0.62
     Senators
    -0.61
    POSITIVE LOGITS
     shelves
    1.06
    store
    1.05
     store
    1.03
    houses
    0.93
     stores
    0.91
    keeper
    0.89
    house
    0.88
    leeve
    0.87
    Store
    0.87
    Tes
    0.86
    Activations Density 0.019%

    No Known Activations