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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
    11. 16951
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    Explanations

    words related to dispensaries and medical marijuana

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dispensaries and related establishments

    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
    inx
    -0.78
    uncture
    -0.75
    drawn
    -0.72
    draw
    -0.70
     Abyssal
    -0.68
    nis
    -0.67
    umar
    -0.66
    emort
    -0.65
    ceed
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
    POSITIVE LOGITS
     dispensaries
    1.20
     dispensary
    1.20
    arijuana
    0.95
     marijuana
    0.90
     Cannabis
    0.82
     cannabis
    0.80
     cultivation
    0.78
     facilities
    0.76
     conflic
    0.74
     storefront
    0.74
    Activations Density 0.014%

    No Known Activations