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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
    11. 5482
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    Explanations

    phrases related to religious preaching

    oai_token-act-pair · gpt-3.5-turbo

    terms related to preaching, religious beliefs, and evangelical messages

    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
    tw
    -0.66
    urrent
    -0.65
    displayText
    -0.65
    ovo
    -0.65
     Pebble
    -0.64
     Rue
    -0.64
    ESCO
    -0.63
    \/\/
    -0.62
     Rost
    -0.62
     NP
    -0.62
    POSITIVE LOGITS
     preached
    1.37
     preaching
    1.07
     preach
    0.93
    iscopal
    0.85
    hovah
    0.84
     sermon
    0.83
     tracts
    0.82
     zeal
    0.82
    olate
    0.82
     evangel
    0.80
    Activations Density 0.070%

    No Known Activations