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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. 7-RES-JB
    11. 13951
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    oai_token-act-pair · gpt-3.5-turbo

    references to "S" or related specific categorizations or sections in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     CPR
    -0.73
     unrestricted
    -0.70
     crib
    -0.66
     techno
    -0.65
     starters
    -0.64
     bottleneck
    -0.64
     bron
    -0.64
     miracles
    -0.63
     downed
    -0.63
     slee
    -0.62
    POSITIVE LOGITS
    ESSION
    1.35
    atisf
    1.25
    OUND
    1.25
    ierra
    1.24
    ixty
    1.24
    ustain
    1.22
    ELF
    1.17
    AND
    1.17
    olutions
    1.17
    atellite
    1.15
    Activations Density 0.061%

    No Known Activations