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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. 3-RES-JB
    11. 17152
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    Explanations

    networking and technical configuration related terms

    oai_token-act-pair · gpt-3.5-turbo

    networking terms related to IP addressing and configurations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    aum
    -0.86
    pard
    -0.75
    20439
    -0.75
    ean
    -0.74
     Grimm
    -0.72
     Petr
    -0.72
    hur
    -0.71
     Jah
    -0.70
    orative
    -0.69
    itsch
    -0.69
    POSITIVE LOGITS
     adapter
    1.02
    addr
    1.01
     Ethernet
    1.01
     hardware
    1.00
     connectivity
    0.99
     routers
    0.97
     adapters
    0.97
     architectures
    0.96
     router
    0.96
     filesystem
    0.95
    Activations Density 0.268%

    No Known Activations