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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4176
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    INDEX
    Explanations

    phrases related to negative or unwanted situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to unwanted situations or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bleacher
    -0.91
    bard
    -0.88
    alach
    -0.86
    hetti
    -0.85
    ramid
    -0.84
    iverpool
    -0.80
    olitan
    -0.79
    mberg
    -0.78
    ophers
    -0.78
    opsis
    -0.77
    POSITIVE LOGITS
     pregnancies
    1.19
     Parenthood
    0.99
     pregnancy
    0.98
     unwanted
    0.96
    ãĤī
    0.80
     nu
    0.75
     baggage
    0.74
     adolesc
    0.72
     burdens
    0.71
     unintended
    0.71
    Activations Density 0.028%

    No Known Activations