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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. 2-RES-JB
    11. 14647
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    Explanations

    names, likely of East Asian origin

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Tan" or related variations, indicating a focus on a particular individual or individuals associated with that name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¡
    -1.00
    çīĪ
    -0.83
    Ö¼
    -0.79
    姫
    -0.77
    éĹĺ
    -0.75
    IDES
    -0.75
     Madison
    -0.73
    raltar
    -0.71
    PsyNetMessage
    -0.71
    æł
    -0.70
    POSITIVE LOGITS
    nery
    1.12
    geon
    1.06
    zan
    1.02
    ning
    0.98
    jug
    0.95
     Tan
    0.94
    ovan
    0.91
    Tan
    0.91
    oma
    0.87
    eless
    0.85
    Activations Density 0.005%

    No Known Activations