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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. 3-RES-JB
    11. 5932
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    Explanations

    technical abbreviations or acronyms related to communication, technology, or sports

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific unit or component, likely related to technology or networking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hold
    -0.89
    inventoryQuantity
    -0.89
    idity
    -0.72
    ãĥ´ãĤ¡
    -0.71
    ×ij
    -0.70
    ãĥ£
    -0.70
    ÙĦ
    -0.70
    abilities
    -0.69
    Rate
    -0.68
    ously
    -0.67
    POSITIVE LOGITS
    ypes
    1.11
    NT
    0.87
    yang
    0.81
    aylor
    0.81
    LM
    0.79
    ribune
    0.79
    guyen
    0.78
    yne
    0.77
    rons
    0.77
    DP
    0.77
    Activations Density 0.012%

    No Known Activations