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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. 11-RES-JB
    6. 22392
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    INDEX
    Explanations

    mentions of specific locations and events involving protests or news conferences

    oai_token-act-pair · gpt-3.5-turbo

    significant names and locations associated with events

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Notting
    -0.94
    London
    -0.86
     subway
    -0.85
    Toronto
    -0.82
     MTA
    -0.78
     TTC
    -0.78
     Blasio
    -0.76
     UEFA
    -0.76
    ijn
    -0.75
    adiq
    -0.74
    POSITIVE LOGITS
     Navajo
    1.51
     Idaho
    1.50
     Wyoming
    1.48
     Yellowstone
    1.48
     BLM
    1.43
     Montana
    1.43
     ranch
    1.30
     Utah
    1.27
     Canyon
    1.27
     Nevada
    1.26
    Activations Density 0.672%

    No Known Activations