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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13871
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    INDEX
    Explanations

    references to the Volkswagen (VW) brand and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the Volkswagen brand and its models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.93
    nces
    -0.85
    ttp
    -0.82
    xual
    -0.80
    olulu
    -0.78
    andra
    -0.77
    efeated
    -0.76
    mond
    -0.76
    sembly
    -0.75
    yout
    -0.73
    POSITIVE LOGITS
     Polo
    1.01
    wagen
    0.78
     dealership
    0.75
     beetle
    0.75
     diesel
    0.74
     invoice
    0.73
     Volkswagen
    0.71
     headlights
    0.69
     Siem
    0.69
     Golf
    0.67
    Activations Density 0.005%

    No Known Activations