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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. 3-RES-JB
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    mentions of the legalization of recreational marijuana

    oai_token-act-pair · gpt-3.5-turbo

    references to recreational and medicinal marijuana use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holes
    -0.85
    attr
    -0.74
    hole
    -0.72
    upon
    -0.71
    itsch
    -0.70
    andra
    -0.69
    hung
    -0.67
    better
    -0.66
    ologies
    -0.66
     Shogun
    -0.66
    POSITIVE LOGITS
     recreational
    0.87
     marijuana
    0.86
     pursuits
    0.86
     Recre
    0.80
     minded
    0.79
     legalization
    0.79
     licenses
    0.75
     stimul
    0.72
     licence
    0.72
     license
    0.70
    Activations Density 0.010%

    No Known Activations