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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. 23695
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    Explanations

    references to specific names, likely of Chinese origin

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly personal names

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Essex
    -0.80
     Arkham
    -0.79
     Hitchcock
    -0.74
     msec
    -0.73
    leck
    -0.68
     Devon
    -0.66
     NIGHT
    -0.66
     parole
    -0.66
    phia
    -0.66
    nick
    -0.65
    POSITIVE LOGITS
     Yuan
    1.42
     Jing
    1.39
     Xiang
    1.39
     Xia
    1.35
     Huang
    1.34
     Guang
    1.33
     Jiang
    1.29
     Tian
    1.29
    wei
    1.29
     Bei
    1.28
    Activations Density 0.032%

    No Known Activations