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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. 8-RES-JB
    11. 11647
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    INDEX
    Explanations

    references to reading or being in the act of reading

    oai_token-act-pair · gpt-3.5-turbo

    instances of reading and related actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.80
    ourcing
    -0.73
    iameter
    -0.64
     footing
    -0.63
    apesh
    -0.62
    hesda
    -0.62
     mounts
    -0.61
    raq
    -0.61
     Claims
    -0.60
     claim
    -0.60
    POSITIVE LOGITS
     aloud
    1.36
     Koran
    1.26
     Quran
    1.16
     textbooks
    1.11
     books
    1.09
     scriptures
    1.07
     memor
    1.06
     scripture
    1.06
     novels
    1.05
     autobiography
    1.02
    Activations Density 0.641%

    No Known Activations