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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. 17215
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    Explanations

    phrases indicating a strong connection or emphasis on a particular concept or idea

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references related to established concepts or beliefs

    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
    hens
    -0.87
    amia
    -0.80
    dan
    -0.79
     Leilan
    -0.77
    icons
    -0.75
    olics
    -0.72
    yip
    -0.72
    hops
    -0.71
    aughtered
    -0.71
    brates
    -0.70
    POSITIVE LOGITS
     trend
    1.08
     sentiment
    1.02
     distinction
    1.02
     latter
    0.96
     notion
    0.94
     tendency
    0.89
     phenomenon
    0.87
     imbalance
    0.86
     realization
    0.86
     disparity
    0.84
    Activations Density 0.256%

    No Known Activations