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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. 4-RES-JB
    11. 10800
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    Explanations

    words related to radar technology

    oai_token-act-pair · gpt-3.5-turbo

    references to radar technology and its applications

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

    No Comments

    Negative Logits
    anza
    -0.77
    Kind
    -0.75
    bern
    -0.73
    TON
    -0.72
    ça
    -0.67
    rifice
    -0.66
    Honest
    -0.66
    SQL
    -0.66
     ABE
    -0.65
    Prime
    -0.65
    POSITIVE LOGITS
     radar
    0.99
    sonian
    0.92
     wip
    0.85
     detector
    0.81
    ionics
    0.80
     censor
    0.79
     transmitter
    0.79
     antennas
    0.78
     detectors
    0.78
     Radar
    0.76
    Activations Density 0.011%

    No Known Activations