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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. 8-RES-JB
    11. 11308
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    Explanations

    phrases related to plant growth

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the cultivation or production of plants, particularly marijuana

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLIC
    -0.79
    ngth
    -0.75
    uyomi
    -0.74
    zzi
    -0.73
    ority
    -0.72
    ensional
    -0.72
    oute
    -0.70
    duty
    -0.68
    ciplinary
    -0.67
    gencies
    -0.66
    POSITIVE LOGITS
     vegetables
    0.87
     vines
    0.87
     trees
    0.80
     hemp
    0.79
     crops
    0.77
     Marijuana
    0.76
     plants
    0.76
     indoors
    0.74
     Grow
    0.73
     gardens
    0.73
    Activations Density 0.067%

    No Known Activations