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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. 3-RES-JB
    11. 9668
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    Explanations

    words and phrases related to employment, specifically focusing on redundancies and layoffs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to redundancy and layoffs in a workplace context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uay
    -0.98
    Water
    -0.78
    Iv
    -0.77
    Chicken
    -0.74
    rollers
    -0.74
    MAC
    -0.72
     Whitney
    -0.72
    EVA
    -0.70
    oos
    -0.70
    tips
    -0.69
    POSITIVE LOGITS
     redundancy
    1.42
     redund
    1.38
     redundant
    1.18
     elim
    0.90
     sever
    0.85
     reorgan
    0.83
     layoffs
    0.83
    isode
    0.78
     ax
    0.78
     unemploy
    0.77
    Activations Density 0.017%

    No Known Activations