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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. 19831
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    Explanations

    numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measurements or numeric data in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    olas
    -0.79
    visors
    -0.77
    acers
    -0.74
    Names
    -0.73
    ramids
    -0.72
     Secrets
    -0.72
    apses
    -0.72
    reads
    -0.72
    Sym
    -0.72
    iers
    -0.71
    POSITIVE LOGITS
     supra
    0.98
     multi
    0.95
     ultra
    0.87
     quasi
    0.86
     minimalist
    0.84
    independent
    0.83
     pseudo
    0.83
     semi
    0.83
     nonpartisan
    0.79
     non
    0.78
    Activations Density 0.194%

    No Known Activations