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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. 5444
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    Explanations

    references to a specific term, "Zen," potentially related to technology or spirituality

    oai_token-act-pair · gpt-3.5-turbo

    references to Zen, particularly in a technological or societal context

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.79
    riers
    -0.79
    WAYS
    -0.75
    女
    -0.71
    Ø©
    -0.71
    OTT
    -0.71
    ,,,,,,,,
    -0.69
    à¤
    -0.66
     Lauder
    -0.65
    à¨
    -0.65
    POSITIVE LOGITS
    eca
    0.96
    obia
    0.93
    ith
    0.91
    zen
    0.88
    ajo
    0.86
    emy
    0.86
    alus
    0.84
    geist
    0.81
    ica
    0.80
    Zen
    0.80
    Activations Density 0.008%

    No Known Activations