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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the word "cannabis"

    oai_token-act-pair · gpt-3.5-turbo

    references to cannabis and its various contexts

    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
     Rove
    -0.72
     Stern
    -0.72
    Bird
    -0.71
     Stevenson
    -0.71
     Hawks
    -0.69
     Foley
    -0.69
     Marriott
    -0.68
    Bey
    -0.67
     Phant
    -0.66
     Dull
    -0.66
    POSITIVE LOGITS
     cannabis
    1.17
     cultivation
    1.08
    arijuana
    1.04
     resin
    1.01
     marijuana
    1.01
     legalization
    1.01
    icum
    1.00
     dispensaries
    0.98
     Cannabis
    0.96
     dispensary
    0.94
    Activations Density 0.011%

    No Known Activations