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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. 1-RES-JB
    11. 596
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    Explanations

    words related to popular brands, especially in the food and beverage industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brands Pepsi and Coca-Cola

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    semble
    -0.73
    olulu
    -0.65
    sym
    -0.63
     rapt
    -0.63
    unning
    -0.63
    ranged
    -0.62
    liest
    -0.60
     fringe
    -0.60
    pmwiki
    -0.60
    Published
    -0.58
    POSITIVE LOGITS
    Cola
    1.35
     Pepsi
    1.14
     Coke
    1.02
     Coca
    0.88
    xon
    0.85
     Polo
    0.85
     Clicker
    0.84
    weed
    0.83
    utical
    0.82
    Mobil
    0.82
    Activations Density 0.004%

    No Known Activations