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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. 10146
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    Explanations

    words expressing fondness or nostalgia

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fondness or nostalgia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    assisted
    -0.62
    ulhu
    -0.61
     mediation
    -0.61
    yna
    -0.59
     improv
    -0.58
     subsistence
    -0.57
    Alert
    -0.57
     Communications
    -0.57
     uninsured
    -0.57
     reorgan
    -0.57
    POSITIVE LOGITS
    76561
    0.98
     fond
    0.94
     memories
    0.89
     cherished
    0.82
     cherish
    0.81
     favorites
    0.80
     remem
    0.79
     admiration
    0.78
    ados
    0.78
    engeance
    0.77
    Activations Density 0.153%

    No Known Activations