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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. 10-RES-JB
    11. 6052
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    Explanations

    references to Christian churches

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "church"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yak
    -0.68
     Paste
    -0.65
     Rog
    -0.65
    DonaldTrump
    -0.63
     Ake
    -0.62
     neurot
    -0.62
    /**
    -0.60
     Generic
    -0.60
     Synd
    -0.60
     Cheong
    -0.60
    POSITIVE LOGITS
    yard
    1.29
    goers
    1.16
    esan
    1.07
    yards
    1.06
     choir
    1.01
    going
    0.96
     bells
    0.95
     congregation
    0.94
     Fathers
    0.94
    church
    0.93
    Activations Density 0.043%

    No Known Activations