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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. 2-RES-JB
    11. 877
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    Explanations

    the word "toilet"

    oai_token-act-pair · gpt-4-turbo

    toilet-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to toilets and related plumbing issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.83
    CVE
    -0.75
     forth
    -0.72
    adena
    -0.71
    avez
    -0.64
    eff
    -0.63
    ACP
    -0.63
    )=(
    -0.62
    displayText
    -0.62
    GAN
    -0.62
    POSITIVE LOGITS
     toilets
    1.06
     toilet
    0.99
     bowl
    0.85
    bowl
    0.83
     cleaners
    0.82
     stalls
    0.79
     cleaner
    0.77
     hygiene
    0.77
     bowls
    0.76
    ilet
    0.76
    Activations Density 0.006%

    No Known Activations