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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. 4-RES-JB
    11. 1853
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    Explanations

    LCD and OLED technology references, particularly focusing on the quality or characteristics of the screens

    oai_token-act-pair · gpt-3.5-turbo

    mentions of LCD and OLED display technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.91
    cific
    -0.85
    giving
    -0.83
    forth
    -0.74
    nell
    -0.72
    ozy
    -0.71
    hens
    -0.71
    given
    -0.71
    isky
    -0.70
    iyah
    -0.69
    POSITIVE LOGITS
     touchscreen
    0.95
     screens
    0.93
     OLED
    0.92
     LCD
    0.88
     monitors
    0.87
     TVs
    0.87
     panels
    0.87
     screen
    0.85
     monitor
    0.85
     targ
    0.82
    Activations Density 0.016%

    No Known Activations