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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. 3-RES-JB
    11. 15849
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    Explanations

    words related to sensor technologies

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of sensors and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bald
    -0.76
    ership
    -0.74
    tions
    -0.71
    ffer
    -0.69
    paragraph
    -0.68
    lly
    -0.66
    adder
    -0.66
    bye
    -0.66
     Horror
    -0.65
    heit
    -0.65
    POSITIVE LOGITS
     sensors
    0.96
     sensor
    0.92
     calibration
    0.83
     subsystem
    0.81
    ionics
    0.81
    Sensor
    0.81
     Berman
    0.80
     detects
    0.79
    hod
    0.78
    asonic
    0.76
    Activations Density 0.012%

    No Known Activations