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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. 1-RES-JB
    11. 21921
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    INDEX
    Explanations

    acronyms that include "SU" with varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to support units or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    working
    -0.67
     orders
    -0.65
     Germans
    -0.65
     Ferdinand
    -0.64
     Lyme
    -0.63
    flies
    -0.63
     Cornwall
    -0.63
     Rober
    -0.61
     Wall
    -0.61
     Belgian
    -0.61
    POSITIVE LOGITS
    SU
    1.25
    umar
    1.01
     SU
    0.97
    uble
    0.94
    pees
    0.92
    FFER
    0.92
    pped
    0.88
    pling
    0.87
    arez
    0.86
    cknow
    0.86
    Activations Density 0.004%

    No Known Activations