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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    references to the Buddha and enlightenment

    oai_token-act-pair · gpt-3.5-turbo

    references to the Buddha and concepts related to enlightenment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dor
    -0.75
     Canter
    -0.68
    anova
    -0.66
    MpServer
    -0.65
    BER
    -0.63
    EG
    -0.62
     opera
    -0.61
     fn
    -0.61
     ethanol
    -0.60
     Ultron
    -0.59
    POSITIVE LOGITS
     Buddha
    1.18
     Dharma
    1.15
     Laksh
    0.89
    lihood
    0.86
    á¹
    0.86
     Buddhism
    0.83
     enlightenment
    0.82
    vana
    0.80
     Buddhist
    0.79
     Sabha
    0.79
    Activations Density 0.020%

    No Known Activations