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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. 9-RES-JB
    11. 18644
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    Explanations

    abbreviations of organizations within parentheses

    oai_token-act-pair · gpt-3.5-turbo

    references to international organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Cher
    -0.82
     Grayson
    -0.82
     Chapman
    -0.80
     Chau
    -0.79
     Wer
    -0.78
    leck
    -0.78
     Gaw
    -0.77
     Chapel
    -0.75
     Bark
    -0.74
     Bale
    -0.73
    POSITIVE LOGITS
     IM
    1.12
     INF
    1.11
     IB
    1.11
     Instr
    1.10
    IB
    1.08
     IL
    1.07
    ISA
    1.06
    IDA
    1.05
     IC
    1.04
     Izan
    1.03
    Activations Density 0.523%

    No Known Activations