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    2. Under Peer Review · Attention SAE Research Paper
    3. GPT2-Small
    4. Attention Out
    5. 9-ATT-KK
    6. 12825
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    INDEX
    Explanations

    quantifiable metrics related to player performance in football statistics

    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
    0:0.04
    1:0.01
    2:0.08
    3:0.13
    4:0.02
    5:0.07
    6:0.02
    7:0.06
    8:0.40
    9:0.03
    10:0.07
    11:0.03
    Negative Logits
     Spani
    -3.76
    Spain
    -3.61
     Catalonia
    -3.60
     Madrid
    -3.53
     Catalan
    -3.44
     Barcelona
    -3.36
     Raf
    -3.25
     Spain
    -3.17
     Philippe
    -3.09
     Paste
    -3.06
    POSITIVE LOGITS
    tackle
    4.84
     lineman
    4.53
     linemen
    4.47
     rusher
    4.41
     tackles
    4.23
     linebackers
    4.00
     Boise
    3.99
     Tennessee
    3.98
     lineback
    3.93
     sacks
    3.88
    Activations Density 0.071%

    No Known Activations