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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12198
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    Explanations

    references to a specific keyword "Tab" followed by a number from 8 to 10

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Tab" and variations of it, likely indicating references to tabs in a digital context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.85
    IVERS
    -0.76
    IGH
    -0.70
     Lauder
    -0.66
    ngth
    -0.65
    ĨĴ
    -0.65
    EEE
    -0.64
    EMENT
    -0.63
     Lynd
    -0.63
     CHRIST
    -0.63
    POSITIVE LOGITS
    bed
    1.30
    bing
    1.14
    ular
    1.14
    oola
    1.07
    ulated
    1.05
    lished
    1.01
    ulation
    0.95
    ulations
    0.94
    tab
    0.94
    ril
    0.93
    Activations Density 0.020%

    No Known Activations