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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. 6-RES-JB
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    Explanations

    religious and papal references

    oai_token-act-pair · gpt-3.5-turbo

    references to religious institutions, specifically synods and papal events or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NP
    -0.83
    Pak
    -0.81
    à¸
    -0.76
     Ogre
    -0.72
    OTOS
    -0.72
     Bom
    -0.71
     Sawyer
    -0.69
     Jets
    -0.69
    selage
    -0.69
    itars
    -0.67
    POSITIVE LOGITS
     bishops
    1.19
     theolog
    1.12
    lesiastical
    1.12
    iscopal
    1.10
    ishops
    1.09
     bapt
    1.05
     priests
    1.04
     scripture
    1.03
     Apostles
    1.03
     bishop
    1.02
    Activations Density 0.139%

    No Known Activations