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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. 21394
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    Explanations

    mentions of trees

    oai_token-act-pair · gpt-3.5-turbo

    mentions of trees and related terminology

    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
    glomer
    -0.77
    rontal
    -0.76
    ersive
    -0.74
    arcer
    -0.73
    naires
    -0.71
     Heller
    -0.68
    naire
    -0.68
    DOS
    -0.68
    oice
    -0.68
     Horowitz
    -0.67
    POSITIVE LOGITS
     canopy
    1.29
     trees
    1.16
     stump
    1.12
     trunk
    1.08
     foliage
    1.08
     planted
    1.07
     planting
    1.05
    frog
    1.03
     tree
    1.02
     bark
    0.98
    Activations Density 0.029%

    No Known Activations