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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. 10-RES-JB
    6. 18077
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    Explanations

    descriptions of historical buildings and landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical or architectural landmarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Consumer
    -0.84
     Lyft
    -0.84
     diapers
    -0.80
    20439
    -0.79
     SNAP
    -0.77
     testers
    -0.75
     ASAP
    -0.74
    nesota
    -0.74
    heit
    -0.74
    Dispatch
    -0.73
    POSITIVE LOGITS
     monument
    1.55
     cathedral
    1.49
     monuments
    1.47
     temple
    1.38
     temples
    1.34
     tomb
    1.33
     palace
    1.33
     towers
    1.33
     statue
    1.33
     memorial
    1.32
    Activations Density 0.583%

    No Known Activations