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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. 13040
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    Explanations

    specific mentions of electronic devices, particularly smartphones and tablets

    oai_token-act-pair · gpt-3.5-turbo

    references to mobile devices and associated features

    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
    ruciating
    -0.74
    nder
    -0.74
     Petr
    -0.73
    aneers
    -0.73
    quist
    -0.73
    sted
    -0.73
    itored
    -0.70
    nels
    -0.69
    atorium
    -0.68
    ertain
    -0.68
    POSITIVE LOGITS
     handset
    1.03
     smartphones
    0.98
     OLED
    0.96
     adapters
    0.96
     chipset
    0.96
     Xiaomi
    0.92
     laptops
    0.92
     accessories
    0.89
     HTC
    0.86
     Asus
    0.86
    Activations Density 0.212%

    No Known Activations