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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
    11. 9233
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    Explanations

    words related to electronic devices, specifically laptops

    oai_token-act-pair · gpt-3.5-turbo

    references to laptops

    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
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    Negative Logits
    tale
    -0.83
    reek
    -0.74
    κ
    -0.74
    staking
    -0.72
    ãĤ±
    -0.69
    Relations
    -0.67
    iosyncr
    -0.66
    oway
    -0.64
    alez
    -0.63
    ulation
    -0.63
    POSITIVE LOGITS
    aptop
    1.01
     laptops
    0.99
     computers
    0.94
    intosh
    0.94
     laptop
    0.87
     MacBook
    0.83
     PCs
    0.79
     keyboards
    0.78
    tops
    0.77
     Thief
    0.76
    Activations Density 0.014%

    No Known Activations