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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 2-ATT-KK
    11. 22777
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    Explanations

    references to train accidents or incidents

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    situations involving derailment or disruption, particularly in context to plans, trains, and technology

    oai_token-act-pair · gpt-4o-miniTriggered 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
    0:0.07
    1:0.04
    2:0.14
    3:0.09
    4:0.05
    5:0.06
    6:0.02
    7:0.03
    8:0.22
    9:0.13
    10:0.06
    11:0.03
    Negative Logits
     VID
    -1.17
     adapted
    -1.17
     charism
    -1.14
     incorporated
    -1.13
     indistinguishable
    -1.13
     licensed
    -1.11
     Married
    -1.10
     elf
    -1.10
     fonts
    -1.08
     sampled
    -1.08
    POSITIVE LOGITS
    issions
    1.59
    campaign
    1.53
    leading
    1.44
     derail
    1.44
    azeera
    1.43
    angering
    1.40
    untled
    1.39
    iasm
    1.38
     efforts
    1.38
    farious
    1.36
    Activations Density 0.001%

    No Known Activations