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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. 12-RES-JB
    11. 2803
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    INDEX
    Explanations

    references to different types of storage like memory, cache, and data storage

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms and concepts related to storage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nel
    -0.82
    ler
    -0.75
    cker
    -0.72
    atown
    -0.72
    ĪĴ
    -0.70
    kok
    -0.70
    ffe
    -0.70
    enburg
    -0.70
    ansson
    -0.67
    glers
    -0.67
    POSITIVE LOGITS
     capacities
    0.99
     shelves
    0.94
     Spaces
    0.94
     space
    0.91
     capacity
    0.90
     containers
    0.88
     storage
    0.88
     tanks
    0.85
     facilities
    0.84
     bins
    0.84
    Activations Density 0.087%

    No Known Activations