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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. 8-RES-JB
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    references 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TON
    -0.72
    atern
    -0.69
    SQL
    -0.68
    than
    -0.68
     Cumber
    -0.67
    bern
    -0.66
    urate
    -0.66
     Constantin
    -0.65
    ador
    -0.65
    adra
    -0.64
    POSITIVE LOGITS
     wip
    0.88
    sonian
    0.86
     detector
    0.85
     detectors
    0.81
     radar
    0.80
    illance
    0.79
    ionics
    0.79
     screens
    0.76
     imaging
    0.72
     bombardment
    0.72
    Activations Density 0.032%

    No Known Activations