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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. 16633
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    Explanations

    proper nouns related to individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    references to characters or names associated with specific films or stories

    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
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    Negative Logits
     Contra
    -0.79
    ãĥ¼ãĥĨ
    -0.77
    ãĥĩãĤ£
    -0.74
     Fargo
    -0.66
     CLSID
    -0.64
    odcast
    -0.62
     stump
    -0.61
     Tome
    -0.60
    «ĺ
    -0.60
     Dragonbound
    -0.60
    POSITIVE LOGITS
    affe
    1.05
    aval
    0.86
    wx
    0.81
    oux
    0.79
    abus
    0.78
    aldi
    0.77
    otta
    0.76
    onna
    0.75
    bons
    0.74
    acha
    0.74
    Activations Density 0.029%

    No Known Activations