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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. 7-RES-JB
    11. 1870
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    Explanations

    phrases related to checking or verifying information

    oai_token-act-pair · gpt-3.5-turbo

    references to checking personal information or accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    von
    -0.72
    rawdownloadcloneembedreportprint
    -0.66
    EStreamFrame
    -0.66
    ranged
    -0.63
    argument
    -0.62
    soever
    -0.61
    udeb
    -0.61
    <?
    -0.61
    ;;
    -0.60
    NetMessage
    -0.59
    POSITIVE LOGITS
     balances
    0.82
    atches
    0.73
     compatibility
    0.73
    worthiness
    0.73
     validity
    0.73
    balance
    0.71
    bones
    0.71
     boxes
    0.66
    geist
    0.66
     clearance
    0.65
    Activations Density 0.096%

    No Known Activations