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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. 11-RES-JB
    11. 2582
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    Explanations

    advanced sensor technologies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sensors and related technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    escape
    -0.71
    ctors
    -0.70
    eworld
    -0.70
    aughter
    -0.70
     Meadows
    -0.69
     Nether
    -0.69
    mort
    -0.67
    ership
    -0.67
    rifice
    -0.66
    chin
    -0.65
    POSITIVE LOGITS
     sensor
    1.13
     detects
    1.10
     sensors
    1.09
     calibration
    1.00
    Sensor
    0.99
     readings
    0.98
     scanner
    0.97
     detecting
    0.96
     Sensor
    0.89
    ometer
    0.88
    Activations Density 0.119%

    No Known Activations