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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. 5898
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    Explanations

    terms related to digital technologies, such as data, printing, image processing, and sensors

    oai_token-act-pair · gpt-3.5-turbo

    references to video technology and production techniques

    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
    Listener
    -0.73
    Ü
    -0.72
    Spons
    -0.69
    Administ
    -0.68
    Coach
    -0.67
     encour
    -0.67
    hunt
    -0.65
     veterin
    -0.65
    Developer
    -0.65
     blaming
    -0.65
    POSITIVE LOGITS
    stuff
    0.92
     batches
    0.87
    aneously
    0.87
     objects
    0.84
     genomes
    0.82
     images
    0.80
    batch
    0.75
     stuff
    0.74
    ishable
    0.74
     integers
    0.73
    Activations Density 0.749%

    No Known Activations