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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. 12-RES-JB
    11. 2488
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    Explanations

    phrases related to technology advancements, particularly in the field of display technology

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    terms related to technology and product features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Nug
    -0.85
    ravel
    -0.82
     Seeds
    -0.81
     Afgh
    -0.79
    Brew
    -0.78
    illin
    -0.77
     Roots
    -0.77
    wild
    -0.74
     heroin
    -0.74
     forfeiture
    -0.73
    POSITIVE LOGITS
     monitors
    1.83
     LCD
    1.72
     OLED
    1.72
     monitor
    1.67
     Display
    1.63
     screens
    1.59
     TVs
    1.52
     HDMI
    1.52
     displays
    1.49
    Display
    1.46
    Activations Density 0.295%

    No Known Activations