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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. 1665
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    Explanations

    mentions of toilets and related bathroom items

    oai_token-act-pair · gpt-3.5-turbo

    references to toilets and sanitation issues

    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
    emonic
    -0.73
    CVE
    -0.71
    adena
    -0.71
     forth
    -0.70
    )=(
    -0.70
    xual
    -0.68
    udic
    -0.68
    emon
    -0.66
    eton
    -0.66
    */(
    -0.66
    POSITIVE LOGITS
     bowl
    0.88
     plun
    0.85
    bowl
    0.77
    rolled
    0.77
    ric
    0.73
    te
    0.73
    ries
    0.72
     disposal
    0.71
    ricular
    0.71
     bowls
    0.71
    Activations Density 0.029%

    No Known Activations