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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    references to the city "Shenzhen" and related events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city "Shenzhen."

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

    No Comments

    Negative Logits
    etheless
    -0.89
    Reference
    -0.70
     bail
    -0.69
     gearing
    -0.67
     Satanic
    -0.65
    dress
    -0.64
    judicial
    -0.64
    inally
    -0.64
    fitting
    -0.63
     VICE
    -0.63
    POSITIVE LOGITS
     Shen
    1.19
    zhen
    1.12
     Jing
    1.07
    nai
    1.00
    zhou
    0.99
     Xiang
    0.98
    hou
    0.97
    ando
    0.94
    hua
    0.93
    arest
    0.91
    Activations Density 0.005%

    No Known Activations