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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. 6-RES-JB
    11. 4143
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    Explanations

    names of locations, specifically focusing on "Shenzhen" and "Chen"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Shen" and "Chen."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saline
    -0.74
    âķIJ
    -0.71
     Ronaldo
    -0.69
     Scand
    -0.67
     Gibraltar
    -0.65
     Extras
    -0.62
     Amendments
    -0.60
     Bucs
    -0.59
     327
    -0.58
     Accountability
    -0.57
    POSITIVE LOGITS
    kees
    1.08
    nai
    1.01
    hou
    1.00
    zos
    0.98
    ken
    0.97
    obyl
    0.96
    igans
    0.96
    zhen
    0.91
    achu
    0.89
    apeake
    0.89
    Activations Density 0.034%

    No Known Activations