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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. 2860
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    Explanations

    information related to health and medical conditions, specifically focusing on battery health and device safety

    oai_token-act-pair · gpt-3.5-turbo

    terms related to technology and health

    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
    chens
    -0.69
    nat
    -0.64
    iliary
    -0.64
     segregated
    -0.63
    acists
    -0.63
     resent
    -0.62
    inguished
    -0.62
    DERR
    -0.61
     Confeder
    -0.61
    ukong
    -0.60
    POSITIVE LOGITS
     NVIDIA
    0.73
     Customers
    0.73
     Nvidia
    0.72
     Asus
    0.72
     Fortune
    0.71
     Ago
    0.70
     ASUS
    0.69
     OLED
    0.68
     WiFi
    0.68
     IoT
    0.68
    Activations Density 1.209%

    No Known Activations