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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. 2-RES-JB
    11. 7020
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    Explanations

    references to trees

    oai_token-act-pair · gpt-3.5-turbo

    mentions of trees and their presence or characteristics in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Digital
    -0.78
    VO
    -0.76
    conom
    -0.68
     Candidate
    -0.68
    Method
    -0.67
    ISTER
    -0.67
    Las
    -0.66
    Abs
    -0.66
    Nev
    -0.65
    Philadelphia
    -0.65
    POSITIVE LOGITS
     trees
    1.27
     Trees
    1.24
     canopy
    1.02
     tree
    1.01
     foliage
    0.94
     vegetation
    0.94
     stump
    0.89
     forests
    0.86
    beard
    0.84
     planted
    0.82
    Activations Density 0.013%

    No Known Activations