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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. 9-RES-JB
    11. 5629
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    Explanations

    phrases related to philosophical concepts, specifically those related to altruism and dependence

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     STATS
    -0.76
    anwhile
    -0.72
    theless
    -0.71
     Marketable
    -0.71
    æ©
    -0.70
    çīĪ
    -0.69
     Zoro
    -0.67
     comprom
    -0.67
    assetsadobe
    -0.67
    é»Ĵ
    -0.65
    POSITIVE LOGITS
    Ļ
    1.14
    ¬
    1.10
    ĸ
    0.93
    ¼
    0.92
    £
    0.92
    ª
    0.92
    ĵ
    0.89
    ¡
    0.88
    º
    0.87
    ¤
    0.86
    Activations Density 0.370%

    No Known Activations