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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. 11-RES-JB
    11. 6253
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    Explanations

    The main thing this neuron does is to find phrases prompting the reader to access additional information or resources to deepen their understanding on a topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to acquiring knowledge or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edition
    -0.68
    ammers
    -0.63
    igslist
    -0.63
    arsity
    -0.61
    acca
    -0.61
    bach
    -0.59
    utable
    -0.57
    uting
    -0.57
    adjusted
    -0.57
    opped
    -0.56
    POSITIVE LOGITS
     more
    1.34
     about
    1.16
     why
    1.16
     how
    1.04
     More
    1.00
     MORE
    0.98
     ABOUT
    0.96
     WHY
    0.96
     whether
    0.95
     what
    0.93
    Activations Density 0.113%

    No Known Activations