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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8084
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    Explanations

    terms related to clusters, particularly mentioning the word "cluster" several times at varying activations

    oai_token-act-pair · gpt-3.5-turbo

    references to "clusters," indicating groupings in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hran
    -0.80
    Ö¼
    -0.76
    ODUCT
    -0.68
    PLIED
    -0.68
    orters
    -0.68
    inen
    -0.67
    toc
    -0.67
    inburgh
    -0.67
    tek
    -0.65
    ebus
    -0.65
    POSITIVE LOGITS
    fuck
    1.15
     bom
    0.96
    usters
    0.91
     clusters
    0.89
     cluster
    0.84
    mates
    0.77
     geographically
    0.72
     headaches
    0.71
     clustered
    0.69
     grouping
    0.68
    Activations Density 0.031%

    No Known Activations