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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
    11. 1308
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    INDEX
    Explanations

    mentions of sophisticated technologies and devices, particularly sensors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sensor technology

    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
    ership
    -0.85
    tions
    -0.82
    swick
    -0.79
     Klux
    -0.69
    heit
    -0.69
    stad
    -0.67
    estone
    -0.67
    ingo
    -0.67
    bye
    -0.66
     Chall
    -0.65
    POSITIVE LOGITS
     sensors
    1.02
     detects
    0.91
     sensor
    0.91
     calibration
    0.88
     electrodes
    0.83
     microphones
    0.83
    ionics
    0.81
    Sensor
    0.78
     implants
    0.77
     subsystem
    0.77
    Activations Density 0.045%

    No Known Activations