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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. 10-RES-JB
    11. 8244
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    Explanations

    That neuron is seeking phrases indicating a lack of knowledge or information about a wide range of topics

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to knowledge and understanding, particularly indicating varying degrees of familiarity or ignorance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammers
    -0.72
    ItemImage
    -0.69
     Carbuncle
    -0.66
    ioxide
    -0.65
    emale
    -0.63
    har
    -0.62
    perse
    -0.61
    xtap
    -0.61
    roid
    -0.59
    aron
    -0.59
    POSITIVE LOGITS
     about
    1.56
     ABOUT
    1.51
    about
    1.35
     About
    1.30
    About
    1.15
     regarding
    0.91
     truths
    0.90
     concerning
    0.89
     details
    0.87
     specifics
    0.83
    Activations Density 0.126%

    No Known Activations