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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. 18362
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    Explanations

    technical specifications related to electronic devices, especially display features like OLED and camera details like LED flash and sensor resolutions

    oai_token-act-pair · gpt-3.5-turbo

    specifications and features of electronic devices, particularly displays and cameras

    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
    CHO
    -0.84
    vec
    -0.80
    cific
    -0.78
    sted
    -0.77
    pei
    -0.74
    zek
    -0.73
    kell
    -0.73
    ourced
    -0.72
    tnc
    -0.71
    stad
    -0.71
    POSITIVE LOGITS
     adapter
    1.00
     adapters
    0.94
     configurations
    0.90
     OLED
    0.88
     Asus
    0.88
     subsystem
    0.85
     Adapter
    0.82
     ASUS
    0.82
     devices
    0.80
     MacBook
    0.80
    Activations Density 0.187%

    No Known Activations