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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
    11. 9916
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    words related to agriculture and farming

    oai_token-act-pair · gpt-3.5-turbo

    terms related to grains and agricultural products

    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
     Hyp
    -0.67
     Jets
    -0.62
     hysteria
    -0.59
     HY
    -0.59
     caucus
    -0.59
     Cyber
    -0.59
     Stevenson
    -0.58
     illustrated
    -0.57
     Ide
    -0.57
     Hath
    -0.56
    POSITIVE LOGITS
    gr
    4.36
    Gr
    1.96
    GR
    1.82
    grim
    1.71
    grain
    1.65
     Gr
    1.50
     gr
    1.48
    grad
    1.46
    gran
    1.38
    gro
    1.38
    Activations Density 0.008%

    No Known Activations