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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. 22912
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    Explanations

    mentions of olive oil

    oai_token-act-pair · gpt-3.5-turbo

    references to olive oil

    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
    é¾
    -0.90
    ulhu
    -0.81
    frame
    -0.81
    enegger
    -0.80
    geoning
    -0.80
    CHAT
    -0.79
    nels
    -0.77
    geon
    -0.76
    ockets
    -0.73
    models
    -0.72
    POSITIVE LOGITS
     oil
    0.99
     Oil
    0.92
    ira
    0.92
     oils
    0.91
     olive
    0.87
     slic
    0.82
    ament
    0.77
    tti
    0.77
     Olive
    0.75
     grease
    0.71
    Activations Density 0.066%

    No Known Activations