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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. 0-RES-JB
    11. 13021
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    Explanations

    ways of dealing with or discussing moisture and nutrients

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to moisture and essential nutrients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sing
    -0.82
     jugg
    -0.72
    hack
    -0.70
     tut
    -0.69
     Uber
    -0.67
    ricks
    -0.66
    Brave
    -0.66
    Sing
    -0.66
     chess
    -0.66
    Bow
    -0.66
    POSITIVE LOGITS
     moisture
    2.84
     nutrients
    2.19
     rainfall
    2.09
     humidity
    2.04
     precipitation
    1.99
     nutrient
    1.59
     moist
    1.55
     contaminants
    1.45
     rains
    1.43
     vegetation
    1.41
    Activations Density 0.029%

    No Known Activations