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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. 1-RES-JB
    11. 2752
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    Explanations

    keywords related to electronic devices, specifically tablets

    oai_token-act-pair · gpt-3.5-turbo

    references to tablet devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -1.05
    anchester
    -0.87
    achusetts
    -0.77
    ^^^^
    -0.75
    neg
    -0.71
    EStreamFrame
    -0.69
    vre
    -0.69
    phe
    -0.69
    hov
    -0.66
    ãģį
    -0.66
    POSITIVE LOGITS
     tablets
    1.46
     tablet
    1.40
     Tablet
    1.28
     cartridges
    0.80
     PCs
    0.80
     lapt
    0.80
     charger
    0.79
    Pad
    0.78
     laptops
    0.75
     devices
    0.74
    Activations Density 0.006%

    No Known Activations