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

    quantitative data or numerical figures mentioned in a text

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.05
    1:0.04
    2:0.18
    3:0.07
    4:0.16
    5:0.07
    6:0.02
    7:0.03
    8:0.07
    9:0.16
    10:0.06
    11:0.03
    Negative Logits
    acea
    -1.62
     captcha
    -1.53
    PK
    -1.46
    uay
    -1.31
    UTH
    -1.31
    asus
    -1.29
    gdala
    -1.24
    MAC
    -1.23
    ć
    -1.22
    OUP
    -1.22
    POSITIVE LOGITS
     dense
    1.62
     density
    1.49
     densely
    1.48
     exhaust
    1.35
     veh
    1.33
     output
    1.31
     urban
    1.28
     thirsty
    1.28
     seams
    1.28
     (>
    1.27
    Activations Density 0.007%

    No Known Activations