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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. 0-RES-JB
    11. 6174
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    Explanations

    keywords related to radar technology

    oai_token-act-pair · gpt-3.5-turbo

    references to radar systems and technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iae
    -0.69
    berto
    -0.67
    iso
    -0.66
    iu
    -0.64
    ty
    -0.64
     âĶľ
    -0.64
    ppe
    -0.62
    ida
    -0.62
    cies
    -0.61
     Ending
    -0.61
    POSITIVE LOGITS
     radar
    3.93
     Radar
    2.46
     rad
    1.35
     radios
    1.18
     GPS
    1.16
     scanners
    1.15
     antennas
    1.14
     sensors
    1.13
     infrared
    1.13
     RAD
    1.11
    Activations Density 0.016%

    No Known Activations