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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. 7677
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    Explanations

    mentions of the location "Hong Kong"

    oai_token-act-pair · gpt-3.5-turbo

    references to Hong Kong

    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
    nesota
    -0.72
     placeholder
    -0.71
     enhancement
    -0.70
     inference
    -0.70
     mileage
    -0.67
     wedge
    -0.64
     preferential
    -0.63
    ally
    -0.62
    igm
    -0.62
     CTR
    -0.62
    POSITIVE LOGITS
     Kong
    1.46
    awei
    1.06
    nam
    0.94
    zhou
    0.92
    jin
    0.89
    wei
    0.88
    ju
    0.87
    Hong
    0.87
     Hong
    0.85
    yu
    0.84
    Activations Density 0.014%

    No Known Activations