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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
    11. 4482
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    Explanations

    terms related to uncleanliness or unethical behavior

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "dirty" in various contexts

    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
    iphate
    -0.94
    HCR
    -0.93
    */(
    -0.91
    icultural
    -0.86
    yip
    -0.85
    ensical
    -0.84
    ajor
    -0.83
    nesota
    -0.82
    mare
    -0.81
    ommel
    -0.80
    POSITIVE LOGITS
     laundry
    1.10
     linen
    1.00
     dirty
    0.94
     mole
    0.84
     diaper
    0.82
     diapers
    0.80
     cleaner
    0.80
     stains
    0.77
     tricks
    0.76
     dirt
    0.76
    Activations Density 0.010%

    No Known Activations