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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. 4-RES-JB
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    Explanations

    mentions of the word "spent."

    oai_token-act-pair · gpt-3.5-turbo

    references to financial expenditure

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

    No Comments

    Negative Logits
     deceased
    -0.68
     Seymour
    -0.67
     Ashe
    -0.64
    uber
    -0.63
     Ober
    -0.63
     Conan
    -0.62
     Kirin
    -0.61
     Paran
    -0.61
     marrying
    -0.60
    fax
    -0.58
    POSITIVE LOGITS
    itures
    1.06
     Spend
    0.90
     lav
    0.88
     Spending
    0.86
     wisely
    0.84
    ONEY
    0.83
    iture
    0.82
     money
    0.82
     taxpayers
    0.82
    rastructure
    0.80
    Activations Density 0.024%

    No Known Activations