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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. 3-RES-JB
    11. 17199
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    INDEX
    Explanations

    references to the presence, absence, or characteristics of trees

    oai_token-act-pair · gpt-3.5-turbo

    references to trees

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Digital
    -0.81
    SPONSORED
    -0.75
    VO
    -0.74
    Clar
    -0.69
    Nev
    -0.66
    conom
    -0.66
     Candidate
    -0.65
    ISTER
    -0.64
    Universal
    -0.62
    Campaign
    -0.62
    POSITIVE LOGITS
     trees
    1.20
     Trees
    1.10
     canopy
    1.05
     foliage
    0.97
     tree
    0.96
     vegetation
    0.92
    beard
    0.89
     stump
    0.88
     planted
    0.83
     cones
    0.82
    Activations Density 0.015%

    No Known Activations