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    2. Under Peer Review · Attention SAE Research Paper
    3. GPT2-Small
    4. Attention Out
    5. 9-ATT-KK
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    Explanations

    terms related to agricultural processes, specifically in the context of grain production and malting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L9_Hcat_z_lr1.20e-03_l11.20e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.9.attn.hook_z
    Hook Layer
    9
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.31
    1:0.02
    2:0.09
    3:0.11
    4:0.03
    5:0.07
    6:0.06
    7:0.06
    8:0.12
    9:0.04
    10:0.04
    11:0.02
    Negative Logits
     Ghostbusters
    -3.40
     Clockwork
    -3.08
     Airbnb
    -3.06
     Godzilla
    -2.92
     Capcom
    -2.85
     ensu
    -2.84
     surfing
    -2.73
     Persona
    -2.68
     Marilyn
    -2.67
     Jarvis
    -2.65
    POSITIVE LOGITS
     wheat
    4.95
     grains
    4.87
     oats
    4.58
    grain
    4.50
     grain
    4.46
     barley
    4.45
     maize
    4.42
     Wheat
    4.38
     corn
    4.36
     kernels
    4.13
    Activations Density 0.034%

    No Known Activations