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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. 17113
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    Explanations

    phrases related to data usage and data plans

    oai_token-act-pair · gpt-3.5-turbo

    references to data usage and data plans

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
    ovie
    -0.82
    ength
    -0.75
    ModLoader
    -0.75
    lain
    -0.73
    folios
    -0.69
    ouston
    -0.68
    aleb
    -0.66
    ggles
    -0.66
    reath
    -0.65
    sym
    -0.64
    POSITIVE LOGITS
     analytics
    0.95
    iologist
    0.90
    ãĤº
    0.88
    flow
    0.80
     encryption
    0.80
     breach
    0.78
    ãĥ©
    0.77
     recorder
    0.75
     breaches
    0.74
     feeds
    0.73
    Activations Density 0.031%

    No Known Activations