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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. 3-RES-JB
    11. 15296
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    Explanations

    mentions of various actors in different scenarios, including international actors, state actors, rogue states, and behavioral actors

    oai_token-act-pair · gpt-3.5-turbo

    references to actors in various contexts, particularly in discussions of social or political dynamics

    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
    ãĤ´ãĥ³
    -0.83
     Zup
    -0.82
     testim
    -0.78
    ILLE
    -0.77
    awaru
    -0.76
    paio
    -0.74
    prints
    -0.73
    ulty
    -0.72
     pier
    -0.72
    £ı
    -0.71
    POSITIVE LOGITS
     economies
    0.90
     impoverished
    0.86
     ravaged
    0.85
     civilizations
    0.85
     island
    0.84
     famine
    0.84
     basin
    0.83
     islands
    0.83
     deforestation
    0.81
     Countries
    0.81
    Activations Density 0.554%

    No Known Activations