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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. 10-RES-JB
    11. 4331
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    Explanations

    phrases related to sustaining or supporting various entities such as populations, families, government decisions, and environmental conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sustainability and resource management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bestos
    -0.81
     Parameters
    -0.78
     largeDownload
    -0.75
    rade
    -0.70
    oiler
    -0.70
    udes
    -0.70
    luaj
    -0.70
     Identified
    -0.67
    code
    -0.66
    pmwiki
    -0.65
    POSITIVE LOGITS
     upkeep
    0.98
     subsistence
    0.97
     necessities
    0.86
     sustaining
    0.85
     sustained
    0.84
     civilization
    0.82
     comfortably
    0.82
     sustain
    0.80
     adequate
    0.78
    entary
    0.77
    Activations Density 0.281%

    No Known Activations