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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. 5324
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    Explanations

    terms related to substance consumption and ownership

    oai_token-act-pair · gpt-3.5-turbo

    terms related to alcohol, cannabis, and other substance use and their implications

    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
     Coat
    -0.78
    uci
    -0.66
    Zip
    -0.65
     nutshell
    -0.65
    mic
    -0.63
    Maps
    -0.61
     Curry
    -0.60
    MAC
    -0.60
     antioxid
    -0.60
    ofi
    -0.59
    POSITIVE LOGITS
    aeda
    0.91
    culosis
    0.72
    dates
    0.71
     abroad
    0.69
     across
    0.68
     worldwide
    0.68
    areth
    0.67
     during
    0.66
    backs
    0.66
    iasco
    0.64
    Activations Density 0.200%

    No Known Activations