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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. 11733
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    Explanations

    phrases related to advanced technology or innovation

    oai_token-act-pair · gpt-3.5-turbo

    references to cutting-edge technology and advancements

    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
    sit
    -0.83
    iland
    -0.77
    ILA
    -0.76
    aun
    -0.75
    cia
    -0.74
    nings
    -0.73
    achus
    -0.72
    abe
    -0.72
    agne
    -0.71
    available
    -0.70
    POSITIVE LOGITS
     edge
    1.38
    edge
    1.28
    Edge
    1.04
     Edge
    1.03
     edges
    0.81
     ray
    0.77
     Stone
    0.77
     blade
    0.76
     Stones
    0.75
     violet
    0.74
    Activations Density 0.059%

    No Known Activations