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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
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    terms related to electronic display technology

    oai_token-act-pair · gpt-3.5-turbo

    references to screens or visual 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
    udos
    -0.83
    istani
    -0.79
    é»Ĵ
    -0.76
    ESE
    -0.76
    zai
    -0.74
    owsky
    -0.73
    laus
    -0.73
    ETA
    -0.72
    externalActionCode
    -0.70
    aternal
    -0.69
    POSITIVE LOGITS
    display
    0.85
     display
    0.84
    Pixel
    0.82
     displays
    0.82
    igators
    0.80
     screens
    0.78
     Display
    0.75
    Display
    0.72
     screen
    0.72
    ables
    0.72
    Activations Density 0.013%

    No Known Activations