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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. 9-RES-JB
    11. 19746
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    Explanations

    references to reading and various sections of an article

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes in reading and articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     seiz
    -0.62
    itect
    -0.60
    Custom
    -0.59
     Pwr
    -0.59
     administr
    -0.57
    uties
    -0.57
    ructure
    -0.57
    ierrez
    -0.56
    Construction
    -0.56
    itures
    -0.55
    POSITIVE LOGITS
     reader
    1.03
     commenter
    0.99
     commenters
    0.96
     chuckle
    0.96
     readers
    0.95
     hilar
    0.94
     blogs
    0.90
     blog
    0.88
     blogger
    0.85
     podcast
    0.85
    Activations Density 1.158%

    No Known Activations