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    Explanations

    safety-related phrases or expressions in a residential context

    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
    0:0.10
    1:0.03
    2:0.06
    3:0.09
    4:0.03
    5:0.08
    6:0.06
    7:0.09
    8:0.09
    9:0.08
    10:0.16
    11:0.08
    Negative Logits
     Mug
    -0.80
     clutching
    -0.76
     Pog
    -0.74
     reck
    -0.74
    lyak
    -0.74
     fears
    -0.74
     Mush
    -0.71
     Cher
    -0.70
     Beg
    -0.70
     Coffin
    -0.68
    POSITIVE LOGITS
    itionally
    0.98
    umbai
    0.94
    types
    0.85
    eaturing
    0.85
    ertation
    0.84
    issance
    0.82
    ailand
    0.81
     grids
    0.80
    urrencies
    0.79
     formats
    0.79
    Activations Density 0.395%

    No Known Activations