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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. 16720
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    Explanations

    terms related to containers in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    references to container technology and related terminology

    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
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    No Comments

    Negative Logits
    bole
    -0.72
    teenth
    -0.72
    heet
    -0.70
    manship
    -0.70
    llor
    -0.69
    IELD
    -0.68
    lasses
    -0.67
    doms
    -0.67
    choes
    -0.67
    BILITIES
    -0.67
    POSITIVE LOGITS
    ainers
    1.14
     containers
    1.11
     container
    1.03
    icum
    0.94
    ized
    0.88
     Container
    0.88
     minimized
    0.85
    arium
    0.82
     reefs
    0.82
    ization
    0.79
    Activations Density 0.033%

    No Known Activations