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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. 11-RES-JB
    11. 11235
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    Explanations

    locations and venues where events or activities are taking place

    oai_token-act-pair · gpt-3.5-turbo

    specific locations or venues where events are held

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ratulations
    -0.74
    arius
    -0.73
     survives
    -0.72
    eanor
    -0.72
    [_
    -0.70
    astics
    -0.69
     belong
    -0.68
     refers
    -0.68
    vation
    -0.68
    few
    -0.68
    POSITIVE LOGITS
     behest
    1.12
     Omni
    0.98
     Marriott
    0.96
     intersection
    0.95
     Hilton
    0.95
     Shrine
    0.95
     Mansion
    0.89
     Museum
    0.89
     Smithsonian
    0.88
     Jav
    0.87
    Activations Density 0.115%

    No Known Activations