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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. 7298
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    Explanations

    references to LED lights

    oai_token-act-pair · gpt-3.5-turbo

    references to LED lighting and related technologies

    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
    oit
    -0.80
    ordan
    -0.79
    smanship
    -0.73
    avage
    -0.72
    apeake
    -0.72
    iyah
    -0.71
    sweet
    -0.71
    arnaev
    -0.69
    ordial
    -0.69
    ozy
    -0.67
    POSITIVE LOGITS
    LED
    1.00
     LED
    1.00
     bulbs
    0.91
     blinking
    0.91
     lamps
    0.89
     bulb
    0.89
     lights
    0.83
     LEDs
    0.82
     lighting
    0.80
     dazz
    0.77
    Activations Density 0.009%

    No Known Activations