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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. 2-RES-JB
    11. 23458
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    Explanations

    phrases related to power plants and energy sources

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of power generation facilities and their associated elements in the context of energy production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zai
    -0.81
    ãĥĥãĥī
    -0.80
     Pain
    -0.77
    escription
    -0.74
    ãĤ±
    -0.72
    ãĤ¢ãĥ«
    -0.70
    Foreign
    -0.70
     Afgh
    -0.68
    Fly
    -0.67
     Uzbek
    -0.66
    POSITIVE LOGITS
     fuels
    0.95
    ioxide
    0.83
    ertodd
    0.82
     installations
    0.82
     heater
    0.81
     batteries
    0.81
     modernization
    0.81
     pumps
    0.80
     machinery
    0.79
     valves
    0.79
    Activations Density 0.195%

    No Known Activations