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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. 9-RES-JB
    11. 17472
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    Explanations

    phrases related to organizations, specifically those with a focus on science, politics, and sports

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations, specifically national agencies and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idious
    -0.96
     mids
    -0.72
    bourg
    -0.67
    shapeshifter
    -0.62
    agons
    -0.62
     fins
    -0.61
    ÄŁ
    -0.61
     tempted
    -0.60
    idan
    -0.60
     JM
    -0.59
    POSITIVE LOGITS
    ukong
    0.85
    owment
    0.72
     Refuge
    0.70
     Teachers
    0.70
     Missing
    0.70
     Museum
    0.68
    omial
    0.67
     Legislation
    0.67
     Registry
    0.67
     Interface
    0.67
    Activations Density 0.092%

    No Known Activations