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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. 2-RES-JB
    11. 23173
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    Explanations

    terms related to different types of light, such as infrared and ultraviolet

    oai_token-act-pair · gpt-3.5-turbo

    terms related to infrared light and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agall
    -0.81
    ̶
    -0.78
    dule
    -0.74
    ndra
    -0.73
    aples
    -0.73
    Capital
    -0.72
    =-=-=-=-
    -0.71
    erker
    -0.70
    \\\\\\\\
    -0.69
    vous
    -0.69
    POSITIVE LOGITS
    rared
    1.24
     infrared
    1.03
     wavelengths
    0.95
     emission
    0.87
     ultraviolet
    0.85
     radiation
    0.83
     goggles
    0.83
     imaging
    0.83
    orescence
    0.82
     rays
    0.81
    Activations Density 0.006%

    No Known Activations