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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. 3127
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    numbers or numerical patterns

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    puter
    -1.01
    merce
    -0.98
    ufact
    -0.96
    nesota
    -0.93
    ittee
    -0.80
    istically
    -0.78
    neapolis
    -0.78
    iston
    -0.77
    otaur
    -0.76
    aido
    -0.76
    POSITIVE LOGITS
    ³
    1.04
    ´
    0.93
    ت
    0.91
    ł
    0.87
    ÙĨ
    0.85
    een
    0.85
    л
    0.83
    eed
    0.80
    Ùħ
    0.78
    ÙĦ
    0.78
    Activations Density 0.005%

    No Known Activations