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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. 10-RES-JB
    11. 5370
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    Explanations

    terms related to storage

    oai_token-act-pair · gpt-3.5-turbo

    references to storage capacity and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atown
    -0.87
    ulhu
    -0.82
    icz
    -0.77
    ĪĴ
    -0.73
    zai
    -0.72
    ansson
    -0.71
    unin
    -0.71
    ffe
    -0.69
    kok
    -0.69
    sky
    -0.69
    POSITIVE LOGITS
     capacity
    1.09
     capacities
    1.04
     storage
    1.04
     Spaces
    1.01
     shelves
    1.00
     Devices
    0.99
     devices
    0.97
     space
    0.95
    Storage
    0.92
     containers
    0.90
    Activations Density 0.025%

    No Known Activations