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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. 9420
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    Explanations

    phrases related to unintended consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to unintended or unwanted consequences

    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
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    No Comments

    Negative Logits
    imore
    -0.88
    cius
    -0.85
    etics
    -0.85
    nosis
    -0.84
    anguage
    -0.81
    emark
    -0.79
    hips
    -0.77
    ateurs
    -0.75
    creen
    -0.74
    ership
    -0.74
    POSITIVE LOGITS
     pregnancies
    1.09
     consequences
    0.97
     consequence
    0.92
    ãĤī
    0.90
     complication
    0.87
     Parenthood
    0.84
     unintended
    0.82
     complications
    0.81
    aneously
    0.81
     pregnancy
    0.80
    Activations Density 0.082%

    No Known Activations