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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. 2-RES-JB
    11. 11797
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    Explanations

    In this case, the neuron is looking for words related to the branding or technology associated with the operating system Android

    oai_token-act-pair · gpt-3.5-turbo

    words or terms related to the brand "Nokia."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lutheran
    -0.80
    Fram
    -0.71
    ĺħ
    -0.66
     lesson
    -0.66
     Copenhagen
    -0.66
     Lisbon
    -0.65
    piece
    -0.65
     Triumph
    -0.61
     Kw
    -0.61
     plaster
    -0.61
    POSITIVE LOGITS
    oug
    1.43
    hest
    1.03
    etooth
    0.97
    ¯¯¯¯¯¯¯¯
    0.93
    itives
    0.91
    arded
    0.85
    estones
    0.84
    anium
    0.82
    anked
    0.82
    lean
    0.82
    Activations Density 0.008%

    No Known Activations