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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. 6-RES-JB
    11. 14855
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    Explanations

    mentions of different types of trees and forests

    oai_token-act-pair · gpt-3.5-turbo

    references to trees and forests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enger
    -0.71
    Digital
    -0.71
    realDonaldTrump
    -0.69
    Brew
    -0.67
    Method
    -0.66
    ochet
    -0.66
    ISTER
    -0.65
    Code
    -0.64
    Spons
    -0.64
    afort
    -0.64
    POSITIVE LOGITS
     canopy
    1.13
     trees
    1.07
     vegetation
    0.98
     forests
    0.97
     foliage
    0.95
     biomass
    0.94
     habitat
    0.90
     plantations
    0.88
    forest
    0.85
    sts
    0.84
    Activations Density 0.057%

    No Known Activations