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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. 0-RES-JB
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    Explanations

    references to narcotics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to narcotics and their legal implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shim
    -0.88
     Glasgow
    -0.77
     IEEE
    -0.73
    Scott
    -0.69
    inks
    -0.68
    itte
    -0.68
    cair
    -0.67
     skate
    -0.67
     Sheffield
    -0.66
    tein
    -0.66
    POSITIVE LOGITS
     Narc
    3.51
     narcotics
    2.11
     narc
    2.03
     narciss
    1.67
     narcissistic
    1.36
     Crimes
    1.25
     Cyrus
    1.17
    istrate
    1.13
     opium
    1.11
     Tul
    1.11
    Activations Density 0.061%

    No Known Activations