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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. 15317
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    Explanations

    religious or sacred references and objects in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to holiness or sacredness

    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
    llah
    -0.82
    XT
    -0.78
    resp
    -0.77
    Pool
    -0.75
    PsyNetMessage
    -0.74
    ffic
    -0.74
    schild
    -0.74
    oidal
    -0.72
    KER
    -0.70
    ļéĨĴ
    -0.70
    POSITIVE LOGITS
     holy
    0.96
     scripture
    0.86
     gra
    0.82
     scriptures
    0.81
     rites
    0.80
     relics
    0.80
     pilgrimage
    0.79
     communion
    0.79
     Grail
    0.75
     maiden
    0.74
    Activations Density 0.006%

    No Known Activations