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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. 23186
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    Explanations

    coniferous trees, especially pine trees

    oai_token-act-pair · gpt-3.5-turbo

    references to pine trees and related vegetation

    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
     Diplom
    -0.80
     Hands
    -0.75
    Jer
    -0.74
     Loot
    -0.74
     Candy
    -0.72
     Stern
    -0.71
     Flesh
    -0.70
     Children
    -0.70
     Space
    -0.70
     Juda
    -0.69
    POSITIVE LOGITS
     pine
    2.81
    oha
    1.35
     oak
    1.32
     maple
    1.27
     turbines
    1.26
     pancakes
    1.17
     turbine
    1.16
     Pine
    1.15
     panc
    1.11
     cherry
    1.10
    Activations Density 0.050%

    No Known Activations