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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. 11-RES-JB
    11. 579
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    Explanations

    phrases related to trees and forestry

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to environmental issues, particularly those concerning trees and forests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hogan
    -0.97
    Philadelphia
    -0.88
     Cosby
    -0.88
     Santorum
    -0.88
     HHS
    -0.87
     Steelers
    -0.82
     Vessel
    -0.81
     Rouhani
    -0.81
     Bucks
    -0.81
     Stern
    -0.80
    POSITIVE LOGITS
     trees
    2.31
     tree
    2.14
     forests
    2.05
     forest
    2.05
     Trees
    2.04
     forestry
    1.86
     Tree
    1.74
    forest
    1.72
     timber
    1.71
    Tree
    1.70
    Activations Density 0.383%

    No Known Activations