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    Explanations

    phrases related to environmental conservation and pollution reduction

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

    phrases related to environmental issues and land management

    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
    0:0.03
    1:0.02
    2:0.30
    3:0.08
    4:0.04
    5:0.08
    6:0.02
    7:0.03
    8:0.09
    9:0.19
    10:0.04
    11:0.03
    Negative Logits
    agonist
    -1.26
    士
    -1.23
    bush
    -1.20
     NET
    -1.18
    scription
    -1.16
    active
    -1.16
     Lifetime
    -1.15
    ヤ
    -1.14
    avier
    -1.14
    oshenko
    -1.13
    POSITIVE LOGITS
    raltar
    1.47
    imming
    1.30
     ponds
    1.29
     colonies
    1.25
     spr
    1.24
     nests
    1.22
    objects
    1.21
     habitats
    1.18
    iffin
    1.17
     islands
    1.15
    Activations Density 0.023%

    No Known Activations