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    Explanations

    the phrase "to [verb]" in various contexts

    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
    0:0.03
    1:0.01
    2:0.24
    3:0.17
    4:0.11
    5:0.09
    6:0.01
    7:0.02
    8:0.04
    9:0.17
    10:0.04
    11:0.02
    Negative Logits
    ahime
    -1.42
    ULTS
    -1.31
     Annotations
    -1.30
    essions
    -1.24
    REDACTED
    -1.23
    BILITIES
    -1.22
    ANE
    -1.22
     sqor
    -1.21
    @@@@
    -1.19
     Documents
    -1.19
    POSITIVE LOGITS
    orno
    1.47
    imir
    1.36
    shaped
    1.27
    arming
    1.24
    gru
    1.23
    worldly
    1.22
    rir
    1.20
    arro
    1.20
    qual
    1.20
    else
    1.17
    Activations Density 0.058%

    No Known Activations