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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. 5883
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    Explanations

    specific references to technology products, particularly smartphones

    oai_token-act-pair · gpt-3.5-turbo

    references to Nokia Lumia devices

    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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    Negative Logits
    hov
    -0.92
    mingham
    -0.92
    ipel
    -0.90
    race
    -0.90
    rina
    -0.83
    pmwiki
    -0.81
    omsday
    -0.81
    Reviewer
    -0.81
    weeney
    -0.81
    oldemort
    -0.81
    POSITIVE LOGITS
     handset
    0.98
     smartphones
    0.93
     phones
    0.92
     Lumia
    0.89
     smartphone
    0.88
     chipset
    0.85
     Wireless
    0.83
     Snapdragon
    0.81
    Berry
    0.81
     808
    0.81
    Activations Density 0.047%

    No Known Activations