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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. 4-RES-JB
    11. 20586
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    Explanations

    instances where an object, material, or concept is being utilized or repurposed for a specific function or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to usage and applications of materials or concepts

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

    No Comments

    Negative Logits
     indebted
    -0.65
    ebted
    -0.65
    worthiness
    -0.65
    rosis
    -0.64
     Constantin
    -0.64
     Manufacturer
    -0.64
     Niet
    -0.64
    */
    -0.62
     Requirements
    -0.60
     Baghd
    -0.60
    POSITIVE LOGITS
     interchange
    0.77
     sparing
    0.76
     conjunction
    0.76
     blackmail
    0.70
     everyday
    0.69
     practise
    0.65
     efficiently
    0.64
     disguise
    0.64
     multit
    0.64
     quar
    0.64
    Activations Density 0.214%

    No Known Activations