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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. 5994
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    Explanations

    references to well-known or widely recognized information or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "famously" or "notoriously" to highlight well-known facts or incidents

    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
    tein
    -0.80
    ession
    -0.72
    ensing
    -0.67
    addons
    -0.66
     comprehension
    -0.64
    oday
    -0.64
    actions
    -0.63
    lahoma
    -0.62
    reads
    -0.62
    lag
    -0.60
    POSITIVE LOGITS
    ãĤ©
    0.81
    ously
    0.81
     famously
    0.80
     nicknamed
    0.77
     defended
    0.67
     Gleaming
    0.67
     criticised
    0.67
     unsu
    0.67
     debated
    0.66
     situated
    0.65
    Activations Density 0.008%

    No Known Activations