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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. 5-RES-JB
    6. 10312
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    Explanations

    Chinese characters and other unidentifiable symbols

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms related to places and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imeters
    -0.64
    âķIJâķIJ
    -0.56
     sand
    -0.56
    GREEN
    -0.52
     centr
    -0.51
    restling
    -0.51
     baths
    -0.50
    Cu
    -0.50
     quartz
    -0.49
    isner
    -0.49
    POSITIVE LOGITS
    ĪĴ
    0.74
     Ribbon
    0.68
    alion
    0.60
    ¥µ
    0.60
    illard
    0.59
    eele
    0.58
    Ö¼
    0.56
     Trials
    0.54
     Despair
    0.52
    Ĭ±
    0.52
    Activations Density 1.328%

    No Known Activations