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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. 4-RES-JB
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    Explanations

    references to wearable technology

    oai_token-act-pair · gpt-3.5-turbo

    references to wearable technology, particularly smartwatches

    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
     ABE
    -0.82
    uliffe
    -0.74
    asta
    -0.68
    ulty
    -0.67
     understatement
    -0.67
    uncture
    -0.66
    ãĥ£
    -0.66
    actionDate
    -0.65
    «ĺ
    -0.65
    xual
    -0.65
    POSITIVE LOGITS
     wearable
    0.84
    Accessory
    0.76
    Smart
    0.76
    yond
    0.75
     Canaver
    0.75
    earable
    0.73
     sensors
    0.72
    Trend
    0.71
    enegger
    0.71
     computing
    0.70
    Activations Density 0.023%

    No Known Activations