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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1609
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    Explanations

    **phrases related to rates, measurements, and statistical data.**

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references to rates and measurements related to various phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥķãĤ©
    -0.89
    çīĪ
    -0.85
    çļ
    -0.80
    æĦ
    -0.78
    Õ
    -0.75
    å·
    -0.73
    Merit
    -0.72
     Aires
    -0.71
    Īè
    -0.70
    ENE
    -0.70
    POSITIVE LOGITS
     occurrence
    0.74
     violence
    0.71
     parity
    0.71
     attendance
    0.69
     variance
    0.69
     incidence
    0.68
     incarceration
    0.67
     electricity
    0.66
     gunfire
    0.66
     interest
    0.65
    Activations Density 0.063%

    No Known Activations