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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. 3-RES-JB
    11. 12692
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    Explanations

    The main thing this neuron does is find instances where an action or event will happen soon

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate an imminent or upcoming event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atively
    -0.70
    artisan
    -0.68
    leck
    -0.66
    severe
    -0.66
    pel
    -0.65
    arth
    -0.65
    cipline
    -0.65
    ocker
    -0.65
    htaking
    -0.64
    icion
    -0.62
    POSITIVE LOGITS
     thereafter
    0.98
    aneously
    0.94
     afterward
    0.76
     afterwards
    0.74
    mares
    0.72
     soon
    0.71
    Soon
    0.71
     Soon
    0.70
     vanquished
    0.67
    theless
    0.66
    Activations Density 0.019%

    No Known Activations